Changelog for python3-opencv-4.7.0-2.1.i586.rpm :

* Thu Dec 29 2022 Stefan Brüns - 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 - 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 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 - 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 https://github.com/opencv/opencv/wiki/ChangeLog#version455
* 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 https://github.com/opencv/opencv/wiki/ChangeLog#version452
* 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, BackgroundSubtractor) - 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 https://github.com/opencv/opencv/wiki/ChangeLog#version451
* Continued merging of GSoC 2020 results: + Develop OpenCV.js DNN modules for promising web use cases together with their tutorials + OpenCV.js: WASM SIMD optimization 2.0 + High Level API and Samples for Scene Text Detection and Recognition + SIFT: SIMD optimization of GaussianBlur 16U
* DNN module: + Improved layers / activations / supported more models: - optimized: 1D convolution, 1D pool - fixed: Resize, ReduceMean, Gather with multiple outputs, importing of Faster RCNN ONNX model - added support: INT32 ONNX tensors + Intel® Inference Engine backend (OpenVINO): - added support for OpenVINO 2021.2 release - added preview support for HDDL + Fixes and optimizations in DNN CUDA backend (thanks to AATTYashasSamaga)
* 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 https://github.com/opencv/opencv/wiki/ChangeLog#version450 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 AATTYashasSamaga) + 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. 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 AATTashishkrshrivastava + (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 option) + 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 one.- Enable dispatch of AVX512 optimized code.