Search results
Results from the WOW.Com Content Network
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.
CMake supports building executables, libraries (e.g. libxyz, xyz.dll etc.), object file libraries and pseudo-targets (including aliases). CMake can produce object files that can be linked against by executable binaries/libraries, avoiding dynamic (run-time) linking and using static (compile-time) linking instead.
A CMake file is provided and the library is compatible with Windows, Linux and Mac OS X. The library was tested successfully with OpenCV 2.4.10. BGSLibrary includes the original LBP implementation for motion detection [ 12 ] as well as a new LBP operator variant combined with Markov Random Fields [ 13 ] with improved recognition rates and ...
ITK uses the CMake (cross-platform make) build environment. CMake is an operating system and compiler independent build process that produces native build files appropriate to the OS and compiler that it is run with. On Unix CMake produces makefiles and on Windows CMake generates projects and workspaces.
Meson can automatically find and use external dependencies via pkg-config, CMake, and project-specific lookups, [14] but this only finds installed dependencies, which Meson can not do anything about. Alternatively, or as a fallback, a dependency can be provided as a subproject – a Meson project within another, either contained or as a ...
How To Make My 3-Ingredient Smoked Salmon Dip. For 2 1/2 cups, or 6 to 8 servings, you’ll need: 8 ounces cream cheese, room temperature 4 to 6 ounces hot smoked salmon, flaked
The outgoing head of Ohio's troubled teachers retirement system said that she is leaving the fund in strong fiscal condition, despite the turmoil at the top that her successor will inherit. In a ...
In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.