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libopencv_videoio406-4.6.0-2.2 RPM for ppc64le

From OpenSuSE Ports Tumbleweed for ppc64le

Name: libopencv_videoio406 Distribution: openSUSE Tumbleweed
Version: 4.6.0 Vendor: openSUSE
Release: 2.2 Build date: Sat Sep 3 20:08:09 2022
Group: System/Libraries Build host: obs-power8-04
Size: 788842 Source RPM: opencv-4.6.0-2.2.src.rpm
Summary: Video IO libraries for OpenCV
Video IO libraries for OpenCV






* Tue Aug 23 2022 Christophe Giboudeaux <>
  - Add upstream change to fix include issue with FFmpeg 5:
    * opencv-ffmpeg5.patch
* Sun Jun 19 2022 Stefan Brüns <>
  - update to 4.6.0, highlights below, for details check
    * 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:
      + 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 <>
  - 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 <>
  - 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 <>
  - 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
* Sat Dec 25 2021 Stefan Brüns <>
  - update to 4.5.5, highlights below, for details check
    * Audio support as part of VideoCapture API: GStreamer #21264
    * Updated SOVERSION handling rules: #21178
    * DNN module patches:
      + Added tests to cover ONNX conformance test suite: #21088
      + Improved layers / activations / supported more models
      + Upgraded builtin protobuf from 3.5.2 to 3.19.1
      + More optimizations for RISC-V platform
      + Intel® Inference Engine backend ( OpenVINO™ ):
      added support for OpenVINO 2021.4.2 LTS release
    * G-API module:
      + G-API framework:
    - Fixed issue with accessing 1D data from cv::RMat: #21103
    - Restricted passing the G-API types to graph inputs/outputs
      for execution: #21041
    - Various fixes in G-API Doxygen reference: #20924
    - Renamed various internal structures for consistency #20836 #21040
      + Fluid backend:
    - Introduced a better vectorized version of Resize: #20664.
    - Added vectorized version of Multiply kernel: #21024
    - Added vectorized version of Divide kernel: #20914
    - Added vectorized version of AddC kernel: #21119
    - Added vectorized version of SubC kernel: #21158
    - Added vectorized version of MulC kernel: #21177
    - Added vectorized version of SubRC kernel: #21231
    - Enabled SIMD dispatching for AbsDiffC: #21204
      + OpenCL backend:
    - Fixed sporadic test failures in Multiply kernel running
      on GPU: #21205
      + Intel® OpenVINO™ inference backend:
    - Extended ie::Params to support static batch size as input
      to inference: #20856
    - Enabled 2D input tensor support in IE backend: #20925
    - Fixed various issues with imported (pre-compiled)
      networks: #20918
      + Media integration:
    - Introduced a GStreamer-based pipeline source for
      G-API: #20709
    - Completed the integration of Intel® oneVPL as a pipeline
      source for G-API #20773 with device selection #20738,
    asynchronous execution #20901, intial demux support #21022,
    and GPU-side memory allocation via DirectX 11 #21049.
      + Samples:
    - Replaced custom kernels with now-standard G-API operations
      in several samples #21106
    - Moved API snippets from G-API samples to a dedicated
      place #20857
      + Other changes and fixes:
    - Fixed various static analysis issues for OpenVINO 2021.4
      release: #21083 and #21212
    - Fixed various build warnings introduced after OpenVINO
      update: #20937
    - Continued clean-up in the G-API test suite on GTest macros
      [#20922] and test data #20995
    - Added custom accuracy comparison functions to Fluid
      performance tests: #21150.
    * And many other contributions:
      + Added QRcode encoder: #17889
      + GSoC - OpenCV.js: Accelerate OpenCV.js DNN via WebNN: #20406
      + Add conventional Bayer naming: #20970
      + (opencv_contrib) Add Radon transform function to ximgproc: #3090
      + (opencv_contrib) New superpixel algorithm (F-DBSCAN): #3093
      + Created Stitching Tool: #21020
      + Improve CCL with new algorithms and tests: #21275
      + (opencv_contrib) Update ArUco tutorial: #3126
  - Adjust memory constraints (mostly required for aarch64 on Leap)
  - Add 0001-highgui-Fix-unresolved-OpenGL-functions-for-Qt-backe.patch
* Wed Nov 24 2021 Dirk Müller <>
  - update to 4.5.4:
    * 8-bit quantization in the dnn module
    * Improved Julia bindings
    * Speech recognition sample
    * dnn module optimizations for RISC-V
    * Tutorial about universal intrinsics and parallel_for usage
    * Improvements in the dnn module:
    - New layers and models support
    - Some existing layers have been fixed
    - Soft-NMS implementation
    - Supported OpenVINO 2021.4.1 LTS release
* Mon Aug 30 2021 Jan Engelhardt <>
  - Remove dependency on IlmBase, opencv never uses this directly.
* Sat May 01 2021 Stefan Brüns <>
  - update to 4.5.2, highlights below, for details check
    * core: added support for parallel backends.
    * imgproc: added IntelligentScissors implementation (JS demo).
    * videoio: improved hardware-accelerated video de-/encoding tasks.
    * DNN module:
      + Improved debugging of TensorFlow parsing errors: #19220
      + Improved layers / activations / supported more models:
    - optimized: NMS processing, DetectionOutput
    - fixed: Div with constant, MatMul, Reshape
      (TensorFlow behaviour)
    - added support: Mish ONNX subgraph, NormalizeL2 (ONNX),
      LeakyReLU (TensorFlow), TanH + SAM (Darknet), Exp
      + Intel® Inference Engine backend ( OpenVINO™ ):
      added support for OpenVINO 2021.3 release
    * G-API module:
      + Python support:
    - Introduced a new Python backend - now G-API can run custom
      kernels written in Python as part of the pipeline: #19351
    - Extended Inference support in the G-API bindings: #19318
    - Added more graph data types in the G-API bindings: #19319
      + Inference support:
    - Introduced dynamic input / CNN reshape functionality in the
      OpenVINO inference backend #18240
    - Introduced asynchronous execution support in the OpenVINO
      inference backend, now it can run in multiple parallel
    requests to increase stream density/throughput: #19487, #19425
    - Extended supported data types with INT64/INT32 in ONNX
      inference backend and with INT32 in the OpenVINO inference
    backend #19792
    - Introduced cv::GFrame / cv::MediaFrame and constant support
      in the ONNX backend: #19070
      + Media support:
    - Introduced cv::GFrame / cv::MediaFrame support in the
      drawing/rendering interface: #19516
    - Introduced multi-stream input support in Streaming mode
      and frame synchronization policies to support cases like
    Stereo: #19731
    - Added Y and UV operations to access NV12 data of cv::GFrame
      at the graph level; conversions are done on-the-fly if the
    media format is different: #19325
      + Operations and kernels:
    - Added performance tests for new operations (MorphologyEx,
      BoundingRect, FitLine, FindContours, KMeans, Kalman,
    - Fixed RMat input support in the PlaidML backend: #19782
    - Added ARM NEON optimizations for Fluid AbsDiffC, AddWeighted,
      and bitwise operations: #18466, #19233
    - Other various static analysis and warning fixes
      + Documentation:
    - [GSoC] Added TF/PyTorch classification conversion: #17604
    - [GSoC] Added TF/PyTorch segmentation conversion: #17801
    - [GSoC] Added TF/PyTorch detection model conversion: #18237
    - Updated documentation to address Wide Universal Intrinsics
    (WUI) SIMD API: #18952
      + And many other great contributions from OpenCV community:
    - core: cuda::Stream constructor with stream flags: #19286
    - highgui: pollKey() implementation for w32 backend: #19411
    - imgcodecs: Added Exif parsing for PNG: #19439
    - imgcodecs: OpenEXR compression options: #19540
    - imgproc: connectedComponents optimizations: (Spaghetti
      Labeling): #19631
    - videoio: Android NDK camera support #19597
    - (contrib) WeChat QRCode module open source: #2821
    - (contrib) Implemented cv::cuda::inRange(): #2803
    - (contrib) Added algorithms from Edge Drawing Library: #2313
    - (contrib) Added Python bindings for Viz module: #2882
  - Add libva build dependency for HW accelerated videoio
  - Slight bump for memory constraints
* Thu Feb 11 2021 Luigi Baldoni <>
  - Enable aruco module (recognize markers to detect camera pose)
* Sat Jan 02 2021 Stefan Brüns <>
  - update to 4.5.1, highlights below, for details check
    * 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
      + 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
    * 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 02 2020 Stefan Brüns <>
  - Split library package, move all libraries with external
    dependencies (Qt5, ffmpeg, gstreamer) into separate packages
  - Move haar and LBP cascades into separate package, pull in from
    objdetect and face (detect) libraries.
* Wed Oct 28 2020 Stefan Brüns <>
  - update to 4.5.0, see
    for details, highlights:
    * OpenCV license has been changed to Apache 2 (OpenCV 3.x will
      keep using BSD)
    * GSoC is over, all projects were success and most of them have
      already been merged. Optimizations for RISC-V, bindings for
      Julia language, real-time single object tracking, improved SIFT
      and others
    * OpenJPEG is now used by default for JPEG2000
    * Supported multiple OpenCL contexts
    * Improvements in dnn module:
      + Support latest OpenVINO 2021.1 release
      + Tengine lite support for inference on ARM
      + Many fixes and optimizations in CUDA backend
    * Added Python bindings for G-API module
    * Multiple fixes and improvements in flann module
    * Added Robot-World/Hand-Eye calibration function
* Sun Sep 13 2020 Dirk Mueller <>
  - update to 4.4.0:
    * SIFT (Scale-Invariant Feature Transform) algorithm has been
    moved to the main repository (patent on SIFT is expired)
    * DNN module:
    * State-of-art Yolo v4 Detector: #17148.
    * onnx: Add support for Resnet_backbone
    * EfficientDet models
    * add text recognition sample / demo
    * FlowNet2 optical flow
    * Intel Inference Engine backend
    * added support for OpenVINO 2020.3 LTS / 2020.4 releases
    * support of NN Builder API is planned for removal in the next release
    * Many fixes and optimizations in CUDA backend
    * Obj-C / Swift bindings: #17165
    * Julia bindings as part of ongoing GSoC project
    * BIMEF: A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
    * Enable Otsu thresholding for CV_16UC1 images
    * Add Stroke Width Transform algorithm for Text Detection
    * Planned migration on Apache 2 license for next releases
  - remove opencv-includedir.patch (obsolete)
* Thu Aug 20 2020 Martin Liška <>
  - Use memoryperjob constraint instead of %limit_build macro.
* Sat Jun 13 2020 Stefan Brüns <>
  - 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
      + 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
      + 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 2020 Stefan Brüns <>
  - Disable Python 2 bindings for Tumbleweed.
* Tue Jan 21 2020 Dominique Leuenberger <>
  - Drop Jasper (i.e jpeg2k) support (boo#1130404, boo#1144260)
    JasPer is unmaintained, CVEs are not being addressed (some issues
    received patches submitted to the upstream github project, but are
    not being merged, other CVEs are considered unfixable). openSUSE
    follows other distros in dropping JasPer now (much later than
    most others, incl. Debian).
* Mon Jan 20 2020 Stefan Brüns <>
  - Add webp build dependency to use system libwebp instead of bundled
  - Enable dispatch of AVX512 optimized code.
* Wed Dec 25 2019 Stefan Brüns <>
  - Update to 4.2.0
    * DNN module:
      + Integrated GSoC project with CUDA backend: #14827
      + Intel® Inference Engine backend ( OpenVINO™ ):
    - support for nGraph OpenVINO API (preview / experimental): #15537
    * G-API module:
      + Enabled in-graph inference: #15090. Now G-API can express more
      complex hybrid CV/DL algorithms;
    - Intel® Inference Engine backend is the only available now,
      support for DNN module will be added in the future releases.
      + Extended execution model with streaming support: #15216. Decoding,
      image processing, inference, and post-processing are now pipelined
      efficiently when processing a video stream with G-API.
      + Added tutorials covering these new features: Face analytics
      pipeline and a sample Face beautification algorithm.
    * Performance improvements:
      + SIMD intrinsics: StereoBM/StereoSGBM algorithms, resize, integral,
      flip, accumulate with mask, HOG, demosaic, moments
      + Muti-threading: pyrDown
    * And many other great patches from OpenCV community:
      + VideoCapture: video stream extraction (demuxing) through
      FFmpeg backend.
      + VideoCapture: waitAny() API for camera input multiplexing
      (Video4Linux through poll() calls).
      + (opencv_contrib) new algorithm Rapid Frequency Selective
      Reconstruction (FSR): #2296 + tutorial.
      + (opencv_contrib) RIC method for sparse match interpolation: #2367.
      + (opencv_contrib) LOGOS features matching strategy: #2383.
    * Breaking changes:
      + Disabled constructors for legacy C API structures.
      + Implementation of Thread Local Storage (TLS) has been improved to
      release data from terminated threads. API has been changed.
      + Don't define unsafe CV_XADD implementation by default.
      + Python conversion rules of passed arguments will be updated in
      next releases: #15915.
* Sun Nov 03 2019 Stefan Brüns <>
  - Limit build parallelism with limit_build, some ARM and PPC workers
    have a high SMP/memory ratio and run out of memory otherwise.
  - Apply memory constraints (3GB) to all architectures, avoid being
    scheduled on very weak workers.
* Sat Oct 12 2019 Stefan Brüns <>
  - Update to 4.1.2
    * DNN module:
      + Intel Inference Engine backend (OpenVINO):
    - 2019R3 has been supported
    - Support modern IE Core API
    - New approach for custom layers management. Now all the OpenCV
      layers fallbacks are implemented as IE custom layers which
      helps to improve efficiency due less graph partitioning.
    - High-level API which introduces dnn::Model class and set of
      task-specific classes such dnn::ClassificationModel,
      dnn::DetectionModel, dnn::SegmentationModel. It supports
      automatic pre- and post-processing for deep learning networks.
    * Performance improvements and platforms support:
      + MSA SIMD implementation has been contributed for MIPS platforms:
      + OpenCV.js optimization (threading and SIMD as part of GSoC
      + More optimizations using SIMD intrinsics: dotProd, FAST corners,
      HOG, LK pyramid (VSX), norm, warpPerspective, etc
      + Fixed detection of Cascade Lake CPUs
    * And many other great patches from OpenCV community:
      + GUI: support topmost window mode (Win32/COCOA):
      + Java: fix Mat.toString() for higher dimensions:
      + Implementation of colormap "Turbo"
      + QR-Code detection accuracy improvement:
      + GSoC: Add learning-based super-resolution module: and
      + Detection accuracy improvement of the white marker aruco
      + Added pattern generator tool for aruco:
      + and special thanks to @sturkmen72 for improvind and cleaning
      up code of samples/tutorials
    * Breaking changes:
      + fixed values thresholding accuracy in calcHist()
    * Security fixes: CVE-2019-15939 (boo#1149742).
  - Enable Graph API (G-API)
  - Minor spec file cleanup
* Wed Aug 28 2019 Marius Kittler <>
  - Include pkg-config file in opencv-devel package
    * Add opencv-includedir.patch
* Tue Aug 27 2019 Jan Engelhardt <>
  - Avoid use of ®/™ signs in specfiles as per guidelines.
* Mon Aug 19 2019 Jonathan Brielmaier <>
  - Disable LTO on ppc64le for now, as it fails to build when enabled
* Sat Aug 10 2019 Christophe Giboudeaux <>
  - Increase the disk space needed to build opencv.
* Fri Aug 09 2019 Christophe Giboudeaux <>
  - Update to 4.1.1
    * DNN module:
    * 3D convolution networks initial support
    * A lot of improvements for ONNX and TenforFlow importers
    * Performance improvements
    * Added IPPE method for planar pose estimation in solvePnP
    * Added solvePnPRefineLM and solvePnPRefineVVS
    * Security fixes: CVE-2019-14491 (boo#1144352), CVE-2019-14492
  - Check for the
    complete list of changes.
  - Drop fix_processor_detection_for_32bit_on_64bit.patch. Fixed upstream
  - Drop 0001-Handle-absolute-OPENCV_INCLUDE_INSTALL_PATH-correctl.patch
    Fixed upstream
  - Refresh 0001-Do-not-include-glx.h-when-using-GLES.patch and
* Tue Jul 02 2019 Stefan Brüns <>
  - Update to version 4.1.0
    * DNN module:
      + Reduced peak memory consumption for some models up to 30%.
      + Inference Engine
    - Inference Engine 2018R3 is now a minimal supported version of IE.
    - Myriad X (Intel® Neural Compute Stick 2) is now supported and tested.
    - Automatic IR network reshaping for different inputs.
    - Improved samples to work with models from OpenVINO Open Model Zoo
      + New networks from TensorFlow Object Detection API: Faster-RCNNs, SSDs
      and Mask-RCNN with dilated convolutions, FPN SSD
    * Performance improvements:
      + More optimization using AVX2 instruction set.
      + Automatic runtime dispatching is available for large set of functions
      from core and imgproc modules.
    * Other improvements:
      + Matplotlib Perceptually Uniform Sequential colormaps
      + Add keypoints matching visualization for real-time pose estimation tutorial
      + Add Hand-Eye calibration methods
      + Java: improved support for multidimensional arrays (Mat)
      + Dynamically loaded videoio backends (FFmpeg, GStreamer)
      + opencv_contrib: Robust local optical flow (RLOF) implementations
      + opencv_contrib: Implementation of Quasi Dense Stereo algorithm
      + opencv_contrib: New module: Image Quality Analysis (IQA) API
      + opencv_contrib: BRISQUE No Reference Image Quality Assessment (IQA) API
  - Update to version 4.0.0
    * A lot of C API from OpenCV 1.x has been removed. The affected modules are
      objdetect, photo, video, videoio, imgcodecs, calib3d.
    * Persistence (storing and loading structured data to/from XML, YAML or JSON)
      in the core module has been completely reimplemented.
    * OpenCV is now C++11 library and requires C++11-compliant compiler.
      Thanks to the extended C++11 standard library, we could get rid of hand-crafted
      cv::String and cv::Ptr. Now cv::String == std::string and cv::Ptr is a thin
      wrapper on top of std::shared_ptr. Also, on Linux/BSD for cv::parallel_for_
      we now use std::thread's instead of pthreads.
    * DNN improvements
    * Completely new module opencv_gapi has been added. It is the engine for very
      efficient image processing, based on lazy evaluation and on-fly construction.
    * Performance improvements
      A few hundreds of basic kernels in OpenCV have been rewritten using so-called
      "wide universal intrinsics". Those intrinsics map to SSE2, SSE4, AVX2, NEON or
      VSX intrinsics, depending on the target platform and the compile flags.
    * QR code detector and decoder have been added to opencv/objdetect module.
    * The popular Kinect Fusion algorithm has been implemented, optimized for CPU and
      GPU (OpenCL), and integrated into opencv_contrib/rgbd module.
    * Very efficient and yet high-quality DIS dense optical flow algorithm has been
      moved from opencv_contrib to opencv, video module. See the example.
    * The slower TV L1 optical flow algorithm has been moved to opencv_contrib.
  - Drop obsolete opencv-lib_suffix.patch
  - Add 0001-Handle-absolute-OPENCV_INCLUDE_INSTALL_PATH-correctl.patch
  - As this is a major version upgrade, the old 3.4.x package is still
    available as opencv3



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Fabrice Bellet, Fri Dec 9 11:19:37 2022