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Latest Version
OpenCV 4.11.0 LATEST
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Operating System
macOS 10.12 Sierra or later
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Filename
opencv-4.11.0-ios-framework.zip
Adopted all around the world, OpenCV for Mac has more than 47 thousand people of the user community and an estimated number of downloads exceeding 14 million. Usage ranges from interactive art to mines inspection, stitching maps on the web, or through advanced robotics.
OpenCV for macOS (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, It makes it easy for businesses to utilize and modify the code.
The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.
It has more than 47 thousand people of the user community and an estimated number of downloads exceeding 14 million. The library is used extensively in companies, research groups, and governmental bodies.
Open CV has C++, Python, Java, and MATLAB interfaces and supports Windows, Linux, Android, and macOS. It leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDA and OpenCL interfaces are being actively developed right now. There are over 500 algorithms and about 10 times as many functions that compose or support those algorithms. Open CV is written natively in C++ and has a templated interface that works seamlessly with STL containers.
Also Available: Download OpenCV for Windows
What's new in this version:
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_exp
- 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
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