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OpenCV runs on the desktop operating systems: Windows, Linux, macOS, FreeBSD, NetBSD and OpenBSD as well as mobile operating systems: Android, iOS, Maemo, [19] BlackBerry 10 and QNX. [20] The user can get official releases from SourceForge or take the latest sources from GitHub. [21] OpenCV uses CMake.
OpenALPR is an automatic number-plate recognition library written in C++. [9] The software is distributed in both a commercial cloud based version [1] and open source version. [3] [10] OpenALPR makes use of OpenCV and Tesseract OCR libraries. It could be run as a command-line utility, standalone library, or background process.
C++/WinRT was introduced as part of the Microsoft Windows SDK in version 10.0.17134.0 (Windows 10, version 1803) and is a component of Windows App SDK (formerly known as Project Reunion). Microsoft Visual Studio support for C++/WinRT is provided by an officially-supported extension.
Introduced June 5, 2007, adding code samples for data compression, new video codec support, support for 64-bit applications on Mac OS X, support for Windows Vista, and new functions for ray-tracing and rendering. Version 6.1 was released with the Intel C++ Compiler on June 28, 2009. Update 1 for version 6.1 was released on July 28, 2009.
OpenCV's Cascade Classifiers support LBPs as of version 2. VLFeat , an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an implementation . LBPLibrary is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem.
The toolkit is written in standard C++ using OpenGL, [2] and runs on a variety of operating systems including Microsoft Windows, macOS, Linux, IRIX, Solaris and FreeBSD. Since version 3.0.0, OpenSceneGraph also supports application development for mobile platforms, namely iOS and Android.
Free and open-source software portal; libavcodec is a free and open-source [4] library of codecs for encoding and decoding video and audio data. [5]libavcodec is an integral part of many open-source multimedia applications and frameworks.
Built on top of OpenCV, a widely used computer vision library, Albumentations provides high-performance implementations of various image processing functions. It also offers a rich set of image transformation functions and a simple API for combining them, allowing users to create custom augmentation pipelines tailored to their specific needs.