Changelog for libopencv_superres410-4.10.0-4.49.x86_64.rpm :

* Sun Jun 09 2024 Alessandro de Oliveira Faria - 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 - Add %{?sle15allpythons} and build python bindings for all configured versions (also for Tumbleweed)
* Sat Dec 30 2023 Alessandro de Oliveira Faria - 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 - 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 - 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