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Updated OpenCV Platforms (markdown)
@@ -6,7 +6,7 @@ OpenCV is cross-platform library and is optimized to run efficiently on various
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* Cross-platform implementation of cv::parallel_for_() and cv::Mutex: https://docs.opencv.org/master/d7/dff/tutorial_how_to_use_OpenCV_parallel_for_.html
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* A wrapper on top of dynamically loaded OpenCL runtime, so-called Transparent API (T-API): https://learnopencv.com/opencv-transparent-api/
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* Optimized cross-platform and platform-specific low-level libraries, such as Intel IPP, open-source or vendor-supplied BLAS & LAPACK implementations, Eigen etc.
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* A runtime dispatcher to choose the optimal branches out of several available code branches: https://github.com/opencv/opencv/wiki/CPU-optimizations-build-options
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* A runtime dispatcher to choose the optimal branches out of several available options: https://github.com/opencv/opencv/wiki/CPU-optimizations-build-options
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* Various backends for our Deep Learning Module, see https://github.com/opencv/opencv/wiki/Deep-Learning-in-OpenCV
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In the subsections you can also find information about running OpenCV on some specific platforms.
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