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opencv-doc-4.12.0-3.2 RPM for noarch

From OpenSuSE Tumbleweed for noarch

Name: opencv-doc Distribution: openSUSE Tumbleweed
Version: 4.12.0 Vendor: openSUSE
Release: 3.2 Build date: Thu Sep 25 16:49:49 2025
Group: Documentation/Other Build host: reproducible
Size: 25248748 Source RPM: opencv-4.12.0-3.2.src.rpm
Packager: https://bugs.opensuse.org
Url: https://opencv.org/
Summary: Documentation and examples for OpenCV
 
This package contains the documentation and examples for the OpenCV library.

Provides

Requires

License

BSD-3-Clause

Changelog

* Thu Sep 25 2025 Bjørn Lie <bjorn.lie@gmail.com>
  - Add 86df531.patch: FFmpeg 8.0 support (boo#1249045).
* Wed Aug 06 2025 Hillwood Yang <hillwood@opensuse.org>
  - Add opencv-ppc64le-power9.patch, fix missing vec_cvfo on POWER9 due
    to unavailable VSX float64 conversion
* Wed Jul 09 2025 Atri Bhattacharya <badshah400@gmail.com>
  - Update to version 4.12.0:
    * Long list of changes, see
      <https://github.com/opencv/opencv/wiki/OpenCV-Change-Logs#version4120>.
  - Drop use of explicit so version from opencv-rpmlintrc filters.
* Wed May 07 2025 Simon Lees <sflees@suse.de>
  - export CMAKE_POLICY_VERSION_MINIMUM="3.5" to ignore cmakes
    minimum version warnings
* Wed Apr 09 2025 Atri Bhattacharya <badshah400@gmail.com>
  - Add opencv-qt6_9-highgui-linking-test.patch: Fix highgui module
    linkage with Qt 6.9 libraries [gh#opencv/opencv#27223,
    QTBUG-134774].
  - Build with ninja; add BuildRequires: ninja.
* Thu Apr 03 2025 Atri Bhattacharya <badshah400@gmail.com>
  - Make devel package conflicts between different flavors explicit.
* Wed Feb 26 2025 Atri Bhattacharya <badshah400@gmail.com>
  - Split into multiple flavors to support switch to Qt6 for
    openSUSE TW and Leap 16+:
    * Main (no-name) flavor builds with Qt5.
    * qt6 flavor builds with Qt6
    * nogui flavor builds without Qt support.
  - Use ldconfig_scriptlets macro for post(un) scripts.
* Sat Jan 18 2025 Stefan Brüns <stefan.bruens@rwth-aachen.de>
  - update to 4.11.0,  highlights below, for details check
    https://github.com/opencv/opencv/wiki/OpenCV-Change-Logs#version4110
    * Generic:
      + Internal C API cleanup and back-ports for 5.x.
      + RISC-V/AArch64: disable CPU features detection
      + Support C++20 standard
      + algoHint parameter for some functions to allow potentially
      faster, but not bit-exact implementation
    * Core Module:
      + Added int64 data type support for FileStorage
      + Fixed invalid attribute value handling in FileStorage
      + Extended LUT for FP16 support
      + Fixed stdDev tail filling with zeros with HAL in meanStdDev
      + Set and check allocator pointer for all cv::Mat instances
      + Improved accuracy of Rect::contains
      + Fixed result offset in minMaxIdx with HAL in some cases
      + Replaced C++ operators with wrapper functions on universal
      intrinsics backends
      + Extended cv::TickMeter
      + Rewrote OpenCL-OpenGL-interop device discovery routine
      without extensions and with Apple support
      + Marked cv::Mat(Mat&&) as noexcept
      + Multiple Eigen library interop improvements
    * Calib3d module:
      + Multiple chessboard detector improvements
      + Enabled checkerboard detection with a central / corner
      marker on a black tile
      + Fixed Rodrigues CV_32F and CV_64F type mismatch in
      projectPoints
      + Added fisheye::distort with non-identity projection matrix
      + SQPnP solver updates
      + Fixed vector access in USAC
    * Imgproc Module:
      + Added a new function that approximates the polygon bounding
      a convex hull with a certain number of sides
      + Added Weighted Hough Transform
      + Fixed bug in contours approximation
      + Fixed bug in divSpectrums
      + Fixed result buffer overflow in intersectConvexConvex_ for
      non-convex input
      + Added flag to GaussianBlur for faster but not bit-exact
      implementation
      + Added flag to cvtColor for faster but not bit-exact
      implementation
      + Fixed fillPoly drawing over boundaries
    * DNN Module:
      + [GSoC] Blockwise quantization support
      + Faster implementation of blobFromImages for cpu nchw output
      + DNN optimization with RISC-V RVV
      + Added DepthToSpace and SpaceToDepth
      + Yolo v10 support and related samples
      + Parallel implementation of nary elementwise operations
      + Support for Unflatten operation required by Attention layer
      + Erf and GELU layers optimization
      + Activations optimization with v_exp
      + Fixed compilation errors with different OpenVINO versions
      + Fixed matmul crash with CuDNN
      + Fixed CuDNN runtime version check for CuDNN 9+
      + Added ONNX TopK
      + Fixed buffer allocation in einsum (fixed random crash on
      32-bit platforms)
      + Added Leaky RELU support for TFLite
      + Switched to run-time dispatcher for Winograd
    * Objdetect module:
      + Properly check markers when none are provided
      + Fixed invalid vector access in QR decoder and encoder
    * Highgui module:
      + Added new Highgui backend on top of Framebuffer
      + Fixed HWND_TOP window handling on Windows
      + [GSoC] Added OpenGL support with GTK3
      + Several OpenGL related fixed on Linux
      + Fixed leak in cvGetWindowRect_COCOA
    * Imgcodecs module:
      + [GSoC] New API for Animations with WEBP, AVIF and Animated
      PNG support
      + [GSoC] Add GIF decode and encode for imgcodecs
      + Added experimental JPEG XL (jxl) codec support
      + Initial RGB layout support in imread and imdecode
      + Fixed imread output type for some cases
      + Fixed file descriptor leak in HDR decoder
      + Fixed corrupted JPEG decoding
      + Improved error handling in image codecs
      + Fixed Bayer2Gray SIMD for U8
      + Avoid uninitialized value read in AVIF
      + Implemented imencodemulti()
      + Fixed compatibility with different OpenEXR versions
    * VideoIO module:
      + Added VideoCapture constructor for in-memory data stream
      + Fixed bugs in native video encoding on Android
      + Added BGRA streams support in GStreamer back-end
      + Updated materials for Orbbec cameras support
      + Fixed cv::VideoWriter with FFmpeg timestamps encapsulation
      + Fixed memory leak in Dshow back-end
      + Fixed V4L NV12 color conversion
      + Android native camera feature enhancements
      + AndroidMediaNdkCapture pixel format enhancement
      + Fixed VideoCapture fails to read single image with digits
      in name
      + Fixed writer setProperty with FFmpeg plugin
    * Video module:
      + Fixed VitTrack in the case where crop size grows until
      out-of-memory when the input is black
    * Features2d:
      + Fixed out of bounds access in SIFT
    * G-API module:
      + Fixed input buffer read overflow in vectorized G-API
      convertTo implementation
      + Extended G-API onnx::Params to pass arbitrary session
      options
      + Handling I32/I64 data types in G-API ONNX back-end
      + G-API: Introduce level optimization flag for ONNXRT backend
    * Optimizations:
      + New FastCV-based HAL for Qualcomm SoCs (-DWITH_FASTCV=ON
      CMake option)
      + Added own vectorized version of v_expv_log, v_erf, v_sin
      and v_cos
      + KleidiCV HAL for ARM updated to KleidiCV 0.3
      + Initial version of HAL for RISC-V RVV 1.0 and RISC-V RVV
      0.7.1 extensions
      + Used LMUL=2 in the RISC-V Vector (RVV) backend of Universal
      Intrinsic.
      + More functions in NDSRVP HAL for RISC-V P extension
      + Updated built-in IPP to version 2021.12. Fixed build issues
      with old and new Intel IPP layouts
    * Platforms:
      + HWAsan support on Android
      + Several CUDA fixes for old GPUs without FP16 support
      + Added getStdAllocator() to cv::cuda::GpuMat
      + Updated NPP calls to use the new NppStreamContext API if
      available
      + More convenient GpuMatND constructor
      + Added run-time GPU check to haveCUDA
      + Add support for QNX
    * OpenCV.js
      + Extended API white-list and added more tests
      + Split white-list per module. Added opportunity to cover
      opencv_contrib modules
      + Fix incorrect string format in js build script
      + Emscripten build fixes with SIMD intrinsics
      + Added more public types for USAC support
      + Rename Mat::clone binding because it is used in Emscripten
      + Fixed C preprocessor stringification
      + Fix enum generation issues
      + Multiple test improvements
* Sat Nov 23 2024 Dirk Müller <dmueller@suse.com>
  - fix build with python 3.13 (needs python-setuptools)
* Sun Jun 09 2024 Alessandro de Oliveira Faria <cabelo@opensuse.org>
  - update to 4.10.0,  highlights below, for details check
    https://github.com/opencv/opencv/wiki/ChangeLog#version4100
    * Core Module:
      + Added CV_FP16 data type for cv::Mat #24892, #24918.
      Deprecated convertFp16 function, added FP16 support to
      cv::Mat::convertTo and analogs.
      + Fixed undefined behaviour in some cases related to FP16
      arithmetic #25598 + Extended HAL API for minMaxIdx #25563,
      LUT #25554, meanStdDev #25483, moments 25490,
      normHamming #25491. HAL entries for transpose #25342,
      some arithmetic functions #25574, #25506
      + Persistence: output reals as human-friendly expression.
      [#25351]
      + Added cgroups v2 support to parallel framework #25285
      + Added in-place support for cartToPolar and polarToCart
      [#24893]
    * Imgproc Module:
      + Added relative displacement field option to cv::remap #24621
      + Added new findContours implementation #25146, #25680, #25385
      + Refactored EMD algorithm to get rid of C-API usage #25469
      + Fixed bug in stackBlur with large kernels #25513
      + Extended HAL for projectPoints #25511, equalizeHist #25565,
      Otsu threshold #25509. Added new HAL entries for
      gaussianBlur#25397, remap #25399, bilaterialFilter #25343.
    * Calib3d Module:
      + Fixed several bugs in hand-eye calibration methods #24897,
      [#25423]
      + Fixed several bugs in findHomography implementation
      [#25308], #25665
      + Multiple improvements in findChessboardCorners
      implementation: #25365, 25195, 25177, 25182, 25145, 24779,
      24710, 24833, 25090
      + Improved symmetric circles grid pattern detection #25258
      + Fixed possible infinite loop in USAC #24987
      + Changed approach for initial estimation for focal length in
      fisheye calibration #25030
      + Added solvePnP implementation for Fisheye camera model #25028
    * DNN module:
      + Significantly improved DNN memory consumption #25181, 25163
      + Added Net::dumpToPbtxt method to review optimized graph with
      Netron #25582
      + Added support for several TFLite layers: Global_Pool_2D
      [#25613], Transpose #25297, HardSwishInt8 #24985, split, fully
      connected, SoftMax, Cast #25273.
      + Fixed bugs in several ONNX layers: Slice #25660, Range
      [#25414], Clip #25319, ReduceMean #25120, Einsum #25100,
      Norm #24808, negative axis support in Concat #24865.
      + Added new ONNX layers: Mod #24765, GroupNorm layer #24610.
      + Added more DNN layers with OpenVINO #25524, #25291, 25518.
      + Optimized fastDepthwiseConv #25361 and int8 layers 25230 for
      RISC-V with RVV extension
      + Optimized fastDepthwiseConv for RISC-V P Packed SIMD
      Extension v0.5.2 #24556
      + Optimized Attention #24476, #25271, #25238, #24613, 25076.
      + Added parallel version for scatter and scatterND #24813
      + Added broadcasting if a.rank() != b.rank() with
      CuDNN backend #24834
      + Tuned Winograd algorithm usage for convolutions #24709
      + Added Raft model support and tracking sample with it #24913
      + Added Vulkan backend for NaryEltwiseLayer in DNN
      module #24768
      + Imporved modern Yolo detectors support. Added sample and
      documentation #24898, #24611
      + Added CuDNN 9+ support #25412
      + Added OpenVINO 2024 support #25199
    * G-API module:
      + Ported G-API ONNXRT backend into V2 API #25662
      + Implement concurrent executor #24845
      + A quick value-initialization support GMat #25055
      + Fixed support of mean/scale preprocessing in OV backend for
      non-real types #24704
    * Objdetect module:
      + Fixed inaccurate Charuco board generation in some cases
      (.generateImage()) #24873, #25673
      + Fixed Aruco detector thread safety issue #24807, made Aruco
      detector more deterministic #24829
      + Added QR codes Structured Append decoding mode #24548
      + Several bug fixes in QR code detector and decoder #25026
      + Fixed barcode detectAndDecode #25035
      + Ported remaning Aruco and Charuco documentation and samples
      to modern API #23018
    * VideoIO:
      + Fix race condition in InternalFFMpegRegister initialization.
      [#25419]
      + Orbbec Camera supports MacOS，Gemini2 and Gemini2L support Y16
      format #24877
      + Added V4L2_PIX_FMT_SGRBG8 pixel format support to V4L2 backend
      [#25249]
      + Fix incorrect timestamps returned by VideoCapture when
      CAP_PROP_FORMAT == -1 #24828
    * Python Bindings:
      + Experimental NumPy 2.0 support
      + Added python bindings for Rect2f and Point3i #24919
      + Switched to numeric dtype for MatLike instead of generic
      [#25406]
      + Added path-like objects support wherever file names are
      expected #24773
    * Platforms support:
      + CUDA 12.4+ support #25658
      + Wayland back-end for Linux #25551, #25510, #25502
      + New LAPACK interface support on MacOS and derivatives
      [#24804], #25625
      + Added initial version of HAL for RISC-V processors with
      P-extension (v0.5.2, Andes platforms) #25167
      + Added ARM KleidiCV as HAL for ARM v8 and v9 processors
      (-DWITH_KLEIDICV=ON CMake option) #25443, #25618, ARM
      announcement.
      + Added zlib-ng as alternative to classic zlib
      (-DWITH_ZLIB_NG=ON CMake option) #24782
      + OneAPI 2024 support (IPP, TBB)
* Fri Jan 19 2024 Axel Braun <axel.braun@gmx.de>
  - Add %{?sle15allpythons} and build python bindings for all
    configured versions (also for Tumbleweed)
* Sat Dec 30 2023 Alessandro de Oliveira Faria <cabelo@opensuse.org>
  - update to 4.9.0,  highlights below, for details check
    https://github.com/opencv/opencv/wiki/ChangeLog#version490
    Highlights of this release:
    * Core Module:
      + Added cv::broadcast
      + Fixed several rounding issues on ARM platform
      + Added detection & dispatching of some modern NEON
      instructions (NEON_FP16, NEON_BF16)
      + Added optimization for LoongArch 128-bit vector,
      detection & dispatching of LoongArch
    * DNN module patches:
      + Experimental transformers support
      + ONNX Attention layer support
      + ONNX Einsum layer support
      + OpenVINO backend for INT8 models
      + ONNX Gather Elements layer
      + ONNX InstanceNorm layer
      + Better support of ONNX Expand layer with cv::broadcast
      + Improved DNN graph fusion with shared nodes and commutative
      operations
      + New fastGEMM implementation and several layers on top of it
      + Winograd fp16 optimizations on ARM
      + Tests and multiple fixes for Yolo family models support
      + New layers support and bug fixes in CUDA backend: GEMM,
      Gelu, Add
      + CANN backend: bug fix, support HardSwish,
      LayerNormalization and InstanceNormalization
      + LayerNormalization: support OpenVINO, OpenCL and
      CUDA backend.
    * G-API module:
      + Intel® OpenVINO™ DL inference backend:
    - Introduced "inferenence only" ("benchmark") mode
      in the OV2.0 backend.
    - Fixed model layout setting issue in the OV2.0 backend.
    - Fixed/relaxed various asserts in the OV2.0 backend.
      + Core and image processing functionality:
    - Fluid kernels were rewritten to new universal intrinsics.
      Thanks for this contribution!
      + Streaming and video functionality:
    - Introduced a QueueSource: an alternative way to manually
      push input frames to the G-API pipeline in the streaming
      mode.
    - Introduced VAS Object Tracker (OT) for the various video
      analytics scenarios.
      +  Python bindings:
    - Exposed VAS OT in G-API Python bindings.
      + Other changes and fixes:
    - Updated ADE (the G-API's graph library) to the latest
      version.
    - Various code clean-ups and warning fixes.
    * Objdetect module:
      + Implemented own QR code decoder as replacement for QUIRC
      library
      + Bug fixes in QR code encoder version estimation
      + More accurate Aruco marker corner refinement with
      dynamic window
      + Fixed contour filtering in ArUco
      + QR code detection sample for Android
      + Multiple local bug fixes and documentation update for
      Aruco makers, Charuco boards and QR codes.
    * Video:
      + Google Summer of Code: added a new object tracking API
      TrackerVit for a vision transformer-based VitTrack.
      This work is done by LIU Pengyu.
    * VideoIO:
      + Videoio: Add raw encoded video stream encapsulation
      to cv::VideoWriter with CAP_FFMPEG
      + Fix GStreamer backend with manual pipelines.
    * Calibration module:
      + Multiple fixes and improvements chess board calibration
      rig detector.
      + calibrateCamera throws exception, if calibration system
      is underconstrained.
      + Fixed bug in findEssentialMat with USAC
      + Fixed out-of-image access in cv::cornerSubPix
      + Fixed crash in ap3p
      + Fixed stereoRectify image boundaries
      + Fixed "use after free" issue in essential_solver.cpp
    * Python Bindings:
      + Added type stub generation for missed types and manually
      wrapped types.
      + Added read-only flag handling for Numpy arrays.
      + Fixed exception handling and bindings for in module.
      + Improved error messages in Numpy array type handling.
      + Fixed constructors documentation in Python.
    * Platforms and hardware Support:
      + Experimental CUDA support as first class language in CMake
      + Added experimental support for Apple VisionOS platform
      + Add support Orbbec Gemini2 and Gemini2 XL camera
      + Fix fullscreen behavior on macOS
    * Other:
      + OpenCV Summer of Code: semi-automated refactoring across
      multiple pull requests by HAN Liutong made our CPU-optimized
      code compatible with SIMD with variable vector
      length (RISC-V RVV)
* Sun Oct 01 2023 Stefan Brüns <stefan.bruens@rwth-aachen.de>
  - 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)
* Thu Dec 29 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
  - update to 4.7.0, highlights below, for details check
    https://github.com/opencv/opencv/wiki/ChangeLog#version470
    Highlights of this release:
    * DNN:
      + New ONNX layers: Scatter and ScatterND, Tile, ReduceL1,
      ReduceMin and more.
      + Signinficant performance optimization for convolutions.
      Winograd algoritm implementation.
      + Element-wise operation (add, sub, mul, div, ...):
      Broadcasting.
      + OpenVino 2022.1 support.
      + CANN backend support.
    * Algorithms:
      + ArUco markers and April tags support including ChAruco and
      diamond boards detection and calibration.
      + QR code detection and decoding quality imrovement. Alignment
      markers support. Benchmark for QR codes: link
      + Nanotrack v2 tracker based on neural networks.
      + Stackblur algoruthm implementation.
    * Multimedia:
      + FFmpeg 5.x support.
      + CUDA 12.0 support. Hardware accelerated video codecs support
      on NVIDIA platforms with modern Video Codec SDK (NVCUVID and
      NVENCODEAPI).
      + CV_16UC1 read/write video support with FFmpeg.
      + Orientation meta support on Mac with native media API.
      + New iterator-based API for multi-page image formats.
      + libSPNG support for PNG format.
      + SIMD acceleration for self-built libJPEG-Turbo
      + H264/H265 support on Android. Multiple fixes for video
      decoder, endcoder and camera memory layout.
    * G-API
      + Exposed all core APIs to Python, including stateful kernels.
    * Optimization:
      + New universal intrinsics backend for scalable vector
      instructions. The first scalable implementation for
      RISC-V RVV 1.0.
      + DNN module patches:
    - Improved layers / supported more models:
    * Scatter and ScatterND #22529, Tile #22809
    * Fixes in Slice (support negative step #22898)
    * Support some reduce layers of ONNX #21601
    - Added CANN backend support #22634. Link to the manual:
      https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend.
    - Added bacthed NMS for multi-class object detection #22857
    - Accelerating convolution, especially for ARM CPU.
    - Winograd's convolution optimization
    + And many other contributions:
      +   Added n-dimensional flip to core #22898
      +   Add StackBlur for imgproc #20379
  - Removed upstream opencv-ffmpeg5.patch
* Tue Aug 23 2022 Christophe Giboudeaux <christophe@krop.fr>
  - Add upstream change to fix include issue with FFmpeg 5:
    * opencv-ffmpeg5.patch
* Sun Jun 19 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
  - update to 4.6.0, highlights below, for details check
    https://github.com/opencv/opencv/wiki/ChangeLog#version460
    * OpenCV project infrastructure migrating on GitHub Actions
      workflows for CI and release purposes
    * Added support for GCC 12, Clang 15
    * Added support for FFmpeg 5.0
    * DNN module patches:
      + Improved layers / activations / supported more models:
    - LSTM (+CUDA), resize (+ONNX13), Sign, Shrink, Reciprocal,
      depth2space, space2depth
    - fixes in Reduce, Slice, Expand
      + Disabled floating-point denormals processing #21521
      + Changed layer names in ONNX importer to support "output"
      entities properly
      + Added TIM-VX NPU backend support:
      https://github.com/opencv/opencv/wiki/TIM-VX-Backend-For-Running-OpenCV-On-NPU
      + Added Softmax parameter to ClassificationModel
      + Added audio speech recognition sample (C++) #21458
      + Intel® Inference Engine backend (OpenVINO):
    - added initial support for OpenVINO 2022.1 release
    - removed support of legacy API (dropped since 2020.3)
    * G-API module:
      + G-API framework:
    - Introduced a Grayscale image format support for
      cv::MediaFrame: #21511;
    - Enabeled .reshape() support in the CPU backend: #21669;
    - Fixed possible hang in streaming execution mode with constant
      inputs: #21567;
    - Introduced proper error/exception propagation in the
      asynchronous streaming execution mode: #21660;
    - Fixed new stream event handling: #21731.
      + Fluid backend:
    - Fixed horizontal pass in the Resize kernel, fixed Valgrind
      issues: #21144;
    - Extended Resize kernel with F32 version: #21678,
      added AVX: #21728.
    - Enabled dynamic dispatch for Split4 kernel: #21520;
    - Enabled dynamic dispatch for Merge3 kernel: #21529;
    - Added a SIMD version for DivC kernel: #21474;
    - Added a SIMD version for DivRC kernel: #21530;
    - Enabled dynamic dispatch for Add kernel: #21686;
    - Enabled dynamic dispatch for Sub kernel: #21746;
    - Added a SIMD version for ConvertTo kernel: #21777;
    - Fixed kernel matrix size for Sobel kernel: #21613.
      + Intel® OpenVINO™ inference backend:
    - Fixed NV12 format support for remote memory when OpenVINO
      remote context is used: #21424.
    - Implemented correct error handling in the backend: #21579.
    - Fixed ngraph warnings #21362.
      + OpenCV AI Kit backend:
    - Introduced a new backend to program OpenCV AI Kit boards via
      G-API. Currently the backend is in experimental state, but allows
      to build Camera+NN pipeline and supports heterogeneity (mixing
      with host-side code): #20785, #21504.
      + Media integration:
    - Enabled GPU inference with oneVPL and DirectX11 on Windows in
      Intel OpenVINO inference backend: #21232, #21618, #21658, #21687,
      [#21688]. Now GPU textures decoded by oneVPL decoder can be
      preprocessed and inferred on GPU with no extra host processing.
    - Enabled oneVPL support on Linux: #21883.
    - Extended GStreamer pipeline source with Grayscale image format
      support: #21560.
      + Python bindings:
    - Exposed GStreamer pipeline source in Python bindings: #20832.
    - Fixed Python bindings for CudaBufferPool, cudacodec and cudastereo
      modules in OpenCV Contrib.
      + Samples:
    - Introduced a pipeline modelling tool for cascaded model
      benchmarking: #21477, #21636, #21719. The tool supports a
      declarative YAML-based config to describe pipelines with simulated
      pre-/post-processing. The tool collects and reports latency and
      throughput information for the modelled pipeline.
      + Other changes and fixes:
    - Moved GKernelPackage into cv:: namespace by default, its cv::gapi::
      alias remain for compatibility: #21318;
    - Moved Resize kernel from core to imgproc kernel packages for
      CPU, OpenCL, and Fluid backends: #21157. Also moved tests
      appropriately: #21475;
    - Avoided sporadic test failures in DivC: #21626;
    - Fixed 1D Mat handling in the framework: #21782;
    - Reduced the number of G-API generated accuracy tests: #21909.
  - Drop upstream patches:
    * 0001-highgui-Fix-unresolved-OpenGL-functions-for-Qt-backe.patch
    * videoio_initial_FFmpeg_5_0_support.patch
    * videoio_ffmpeg_avoid_memory_leaks.patch
* Fri Apr 29 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
  - Add upstream patches for FFmpeg 5.0 support, add
    * videoio_initial_FFmpeg_5_0_support.patch
    * videoio_ffmpeg_avoid_memory_leaks.patch
* Sat Apr 09 2022 Stefan Brüns <stefan.bruens@rwth-aachen.de>
  - Restore memoryperjob constraint, avoid being scheduled on a 16
    core system and use less than half of it.
  - Adjust %limit_build to 1800, to avoid recurrent build failures
    on aarch64. (People should not care for their pet architecture
    only, but also carefully check if they break others.)
  - Add missing libopencv_aruco dependency in devel package.
* Mon Jan 10 2022 Antonio Larrosa <alarrosa@suse.com>
  - Remove the memoryperjob constraint which doesn't work as one
    would expect and breaks ppc64 builds.
  - Use %limit_memory -m 1700 to set the number of concurrent
    jobs to a sane value and fix OOM errors when building in
    workers with many cores.
  - Decrease the disk constraint to 9G which seems to be enough

Files

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Fabrice Bellet, Fri Oct 31 23:03:09 2025