![]() We cleaned up API of many high-level algorithms from features2d, calib3d, objdetect etc.There is also new OpenCV HAL layer that will simplifies creation of NEON-optimized code and that should form a base for the open-source and proprietary OpenCV accelerators.~40 OpenCV functions have been accelerated using NEON intrinsics and because these are mostly basic functions, some higher-level functions got accelerated as well.This work has been done by contract and with generous support from AMD and Intel companies. When OpenCL is available, it’s detected and used, but it can be disabled at compile time or at runtime. It does not add any compile-time or runtime dependency of OpenCL. T-API (transparent API) has been introduced, this is transparent GPU acceleration layer using OpenCL.It’s used by default in x86 and 圆4 builds on Windows, Linux and Mac. a subset of Intel IPP (IPPCV) is given to us and our users free of charge, free of licensing fees, for commercial and non-commerical use.Clone the repository and use “ cmake … -D OPENCV_EXTRA_MODULES_PATH= …” to build opencv and opencv_contrib together. A lot of new functionality is there already! opencv_contrib is only compatible with 3.0/master, not 2.4. ![]()
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March 2023
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