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For cmake versions older than 3.9 OpenCV uses own cmake/FindCUDA.cmake script, for newer versions - the one packaged with CMake.

CUDA toolkit must be installed from the official NVIDIA site as a prerequisite. Many algorithms have been implemented using CUDA acceleration, these functions are located in separate modules.

If BUILD_ option is disabled, 3rdparty library will be detected and enabled if found => HAVE_ set to ON if dependency is found.

If BUILD_ option is enabled, 3rdparty library will be built and enabled => HAVE_ set to ON.

Options starting with HAVE_ indicate that dependency have been enabled, can be used to manually enable a dependency if automatic detection can not be used.

Options starting with BUILD_ enable or disable building and using 3rdparty library bundled with OpenCV.

Options starting with WITH_ enable or disable a dependency.There are three kinds of options used to control dependencies of the library, they have different prefixes: cmake has special option allowing to print all available configuration parameters:Ĭmake -LH. There are many optional dependencies and features that can be turned on or off. See also GCC instrumentation Build hardening Interprocedural optimization Link time optimization ThinLTO Enable IPP optimizationįollowing options can be used to enables IPP optimizations for each functions but increases the size of the opencv library. OptionĮnable profiling compiler and linker options.Įnable several quirks in code to assist memory sanitizer.Įnable compiler options which reduce possibility of code exploitation.Įnable thin LTO which incorporates intermediate bitcode to binaries allowing consumers optimize their applications later. Profiling, coverage, sanitize, hardening, size optimizationįollowing options can be used to produce special builds with instrumentation or improved security. opencv Note More details on CPU optimization options can be found in wiki:

Download the new for apple Quick CPU 4.7.0