Accepting request 1114642 from home:StefanBruens:branches:science
- update to 4.8.1 * WebP security update for CVE-2023-4863 * Depthwise convolution 5x5 performance regression fix - update to 4.8.0, highlights below, for details check https://github.com/opencv/opencv/wiki/ChangeLog#version480 Highlights of this release: * DNN module patches: + TFLite models support, including int8 quantized models. + Enabled DNN module build without Protobuf dependency. + Improved layers => supported more models: - ONNX: Layer normalization, GELU and QLinearSoftmax. - Fixes in CANN backend: * support ONNX Split, Slice, Clip (Relu6) and Conv with auto_pad. * support ONNX Sub, PRelu, ConvTranspose. - Reduce Refactor for robustness and potential follow-up improvements. - Fixes for Segment Anything Model by Meta. - Fixes in nary element wise layer about broadcast: * Fixes in CPU. * and Fixes in CUDA backend. - Further increased DNN speed on ARM and X86 by improving convolution, covering 1D and 3D cases, supporting convolution+element-wise op fusion. - Added full FP16 computation branch on ARMv8 platform, 1.5x faster than FP32 (FP16 Winograd is still pending). - Vulkan backend refactor for better performance and robustness. It runs 4X faster than before. - Added API blobFromImageParam to build network inputs with pre-processings. - Modern OpenVINO support. * G-API module: + Intel® OpenVINO™ inference backend: - Streamlined preprocessing in OpenVINO Inference Engine (ie) API 1.0 backend. Note: this backend will be deprecated after OpenVINO removes the API 1.0 support in its subsequent releases. - Aligned OpenVINO IE API 1.0 backend with the latest OpenVINO 2023.0 (as some features were removed there). - Introduced a brand new OpenVINO API 2.0 backend. - Implemented the required inference operations for the OpenVINO API 2.0 backend. + Python bindings: - Exposed varions normalization options for ONNX RT backend in Python bindings. - Exposed Fluid kernels and kernel package manipulation functions (combine()) in Python. - Fixed issues in Stateful Python kernel state handling; also fixed various issues in Python tests. - Fixed issue with opaque kernel output information handling which broke Python custom kernels. + Samples: - Introduced a new Segmentation demo with desync() to enable slow-running networks in the real-time. - Updated stats calculation in the G-API-based pipeline modelling tool. + Other changes and fixes: - Fixed tolerance in Fluid resize tests to avoid issues on ARM. - Fluid backend: extended Merge3 kernel with more supported data types. - Fixed standalone mode compilation issues. * Objdetect module: + FaceDetectorYN upgrade for better performance, accuracy and facial landmarks support. + New QR code detection algorithm based on ArUco code. + Bar code detector and decoder moved from Contrib to main repository. + Introduced common API for all graphical codes like bar codes and QR codes. + Added flag for legacy pre-4.6.0 ChAruco boards support. + Multiple bug fixes and improvements in QR code detection and decoding pipelines. + Multiple bug fixes and improvements in ArUco based pipelines. * Calibration module: + USAC framework improvements. + Fixed stddev estimation in camera calibration pipelines. + Fixed incorrect pixel grid generation in icvGetRectangles that improves accuracy of getOptimalNewCameraMatrix, stereoRectify and some other calibration functions. Charuco board support in patterns generator, interactive calibration tool and calibration samples. * Image processing module: + Various fixes in line segments detector. + Fixed even input dimensions for INTER_NEAREST_EXACT in resize. + Optimise local cost computation in IntelligentScissorsMB::buildMap. + Keep inliers for linear remap with BORDER_TRANSPARENT + Fix distransform to work with large images. * Features2d module: + SIFT accuracy improvements. * Core module: + Added REDUCE_SUM2 option to cv::reduce. + Introduced cv::hasNonZero function. + Update IPP binaries update to version 20230330. + Improved RISC-V RVV vector extensions support. - Support RVV v0.11 intrinsics available in LLVM 16 and GCC 13 - Support build with T-Head RISC-V toolchain (RVV 0.7.1 and 1.0) + Several OpenCL vendor and version handling improvements. * Multimedia: + Added AVIF support through libavif. + Orbbec Femto Mega cameras support. + HEVC/H265 support in VideoWriter with MS Media Foundation backend. + Fixed FPS computation on some videos for FFmpeg backend. + Added support for VideoCapture CAP_PROP_AUTO_WB and CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow backend. + Fixes OBS Virtual Camera capture. + CV_32S encoding support with tiff. * Python Bindings: + Python typing stubs. + Fix reference counting errors in registerNewType. + Fixed ChAruco and diamond boards detector bindings. + Added bindings to allow GpuMat and Stream objects to be initialized from memory initialized in other libraries + np.float16 support. + Python bindings for RotatedRect, CV_MAKETYPE, CV_8UC(n). * JavaScript bindings: + Added possibility for disabling inlining wasm in opencv.js + Extended JS bindings for Aruco, Charuco, QR codes and bar codes. * Other: + Several critical issue fixes in wechat_qrcode module (opencv_contrib) OBS-URL: https://build.opensuse.org/request/show/1114642 OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=36
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-------------------------------------------------------------------
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Sun Oct 1 22:45:15 UTC 2023 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
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- update to 4.8.1
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* WebP security update for CVE-2023-4863
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* Depthwise convolution 5x5 performance regression fix
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- update to 4.8.0, highlights below, for details check
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https://github.com/opencv/opencv/wiki/ChangeLog#version480
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Highlights of this release:
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* DNN module patches:
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+ TFLite models support, including int8 quantized models.
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+ Enabled DNN module build without Protobuf dependency.
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+ Improved layers => supported more models:
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- ONNX: Layer normalization, GELU and QLinearSoftmax.
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- Fixes in CANN backend:
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* support ONNX Split, Slice, Clip (Relu6) and
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Conv with auto_pad.
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* support ONNX Sub, PRelu, ConvTranspose.
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- Reduce Refactor for robustness and potential
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follow-up improvements.
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- Fixes for Segment Anything Model by Meta.
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- Fixes in nary element wise layer about broadcast:
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* Fixes in CPU.
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* and Fixes in CUDA backend.
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- Further increased DNN speed on ARM and X86 by improving
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convolution, covering 1D and 3D cases, supporting
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convolution+element-wise op fusion.
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- Added full FP16 computation branch on ARMv8 platform, 1.5x
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faster than FP32 (FP16 Winograd is still pending).
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- Vulkan backend refactor for better performance and
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robustness. It runs 4X faster than before.
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- Added API blobFromImageParam to build network inputs
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with pre-processings.
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- Modern OpenVINO support.
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* G-API module:
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+ Intel® OpenVINO™ inference backend:
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- Streamlined preprocessing in OpenVINO
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Inference Engine (ie) API 1.0 backend. Note: this backend
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will be deprecated after OpenVINO removes the API 1.0
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support in its subsequent releases.
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- Aligned OpenVINO IE API 1.0 backend with the latest
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OpenVINO 2023.0 (as some features were removed there).
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- Introduced a brand new OpenVINO API 2.0 backend.
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- Implemented the required inference operations for
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the OpenVINO API 2.0 backend.
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+ Python bindings:
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- Exposed varions normalization options for ONNX RT
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backend in Python bindings.
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- Exposed Fluid kernels and kernel package manipulation
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functions (combine()) in Python.
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- Fixed issues in Stateful Python kernel state
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handling; also fixed various issues in Python tests.
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- Fixed issue with opaque kernel output information
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handling which broke Python custom kernels.
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+ Samples:
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- Introduced a new Segmentation demo with desync() to enable
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slow-running networks in the real-time.
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- Updated stats calculation in the G-API-based pipeline
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modelling tool.
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+ Other changes and fixes:
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- Fixed tolerance in Fluid resize tests to avoid issues
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on ARM.
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- Fluid backend: extended Merge3 kernel with more
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supported data types.
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- Fixed standalone mode compilation issues.
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* Objdetect module:
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+ FaceDetectorYN upgrade for better performance,
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accuracy and facial landmarks support.
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+ New QR code detection algorithm based on ArUco code.
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+ Bar code detector and decoder moved from Contrib to
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main repository.
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+ Introduced common API for all graphical codes like bar
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codes and QR codes.
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+ Added flag for legacy pre-4.6.0 ChAruco boards support.
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+ Multiple bug fixes and improvements in QR code detection
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and decoding pipelines.
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+ Multiple bug fixes and improvements in ArUco based pipelines.
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* Calibration module:
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+ USAC framework improvements.
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+ Fixed stddev estimation in camera calibration pipelines.
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+ Fixed incorrect pixel grid generation in icvGetRectangles
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that improves accuracy of getOptimalNewCameraMatrix,
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stereoRectify and some other calibration functions.
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Charuco board support in patterns generator, interactive
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calibration tool and calibration samples.
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* Image processing module:
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+ Various fixes in line segments detector.
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+ Fixed even input dimensions for INTER_NEAREST_EXACT
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in resize.
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+ Optimise local cost computation in
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IntelligentScissorsMB::buildMap.
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+ Keep inliers for linear remap with BORDER_TRANSPARENT
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+ Fix distransform to work with large images.
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* Features2d module:
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+ SIFT accuracy improvements.
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* Core module:
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+ Added REDUCE_SUM2 option to cv::reduce.
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+ Introduced cv::hasNonZero function.
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+ Update IPP binaries update to version 20230330.
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+ Improved RISC-V RVV vector extensions support.
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- Support RVV v0.11 intrinsics available in LLVM 16
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and GCC 13
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- Support build with T-Head RISC-V toolchain
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(RVV 0.7.1 and 1.0)
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+ Several OpenCL vendor and version handling improvements.
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* Multimedia:
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+ Added AVIF support through libavif.
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+ Orbbec Femto Mega cameras support.
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+ HEVC/H265 support in VideoWriter with MS Media
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Foundation backend.
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+ Fixed FPS computation on some videos for FFmpeg backend.
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+ Added support for VideoCapture CAP_PROP_AUTO_WB and
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CV_CAP_PROP_WHITE_BALANCE_BLUE_U for DShow backend.
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+ Fixes OBS Virtual Camera capture.
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+ CV_32S encoding support with tiff.
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* Python Bindings:
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+ Python typing stubs.
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+ Fix reference counting errors in registerNewType.
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+ Fixed ChAruco and diamond boards detector bindings.
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+ Added bindings to allow GpuMat and Stream objects to
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be initialized from memory initialized in other libraries
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+ np.float16 support.
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+ Python bindings for RotatedRect, CV_MAKETYPE, CV_8UC(n).
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* JavaScript bindings:
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+ Added possibility for disabling inlining wasm in opencv.js
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+ Extended JS bindings for Aruco, Charuco, QR codes and
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bar codes.
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* Other:
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+ Several critical issue fixes in wechat_qrcode module
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(opencv_contrib)
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Thu Dec 29 09:59:55 UTC 2022 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
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Thu Dec 29 09:59:55 UTC 2022 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
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#
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#
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# spec file for package opencv
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# spec file for package opencv
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#
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#
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# Copyright (c) 2022 SUSE LLC
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# Copyright (c) 2023 SUSE LLC
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#
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#
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# All modifications and additions to the file contributed by third parties
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# remain the property of their copyright owners, unless otherwise agreed
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%endif
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%endif
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%define libname lib%{name}
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%define libname lib%{name}
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%define soname 407
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%define soname 408
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# disabled by default as many fail
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# disabled by default as many fail
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%bcond_with tests
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%bcond_with tests
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%bcond_without gapi
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%bcond_without gapi
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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: 4.7.0
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Version: 4.8.1
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:42df840cf9055e59d0e22c249cfb19f04743e1bdad113d31b1573d3934d62584
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size 59421940
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opencv_contrib-4.8.1.tar.gz
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3
opencv_contrib-4.8.1.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c082a0b29b3118f2a0a1856b403bb098643af7b994a0080f402a12159a99c6e
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size 59200293
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