Search Results for "macos install"

Vcpkg helps you manage C and C++ libraries on Windows, Linux and MacOS. This tool and ecosystem are constantly evolving, and we always appreciate contributions! After you've gotten vcpkg installed and working, you may wish to add tab completion to your shell. With CMake, you will still need to find_package and the like to use the libraries. Check out the CMake section for more information, including on using CMake with an IDE.

ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host...

xtd (pronounced "extend") is a modern C++20 framework to create console CLI), forms (GUI like WinForms) and unit test (xUnit) applications on Windows, macOS, Linux, iOS , Android, FreeBSD and Haiku. • Website : https://gammasoft71.github.io/xtd/ • Sources : https://github.com/gammasoft71/xtd • Reference guide : https://gammasoft71.github.io/xtd/reference_guides/latest/index.html • Install : https://gammasoft71.github.io/xtd/docs/downloads • Portability : https://gammasoft71.github.io/xtd/docs/documentation/portability • Examples : https://github.com/gammasoft71/xtd/tree/master/examples/README.md

...To embed interactive maps into a native application using a platform-specific language, install the Mapbox Maps SDK. We use CMake to build Mapbox GL Native for various platforms, including Linux, Android, iOS, macOS and Windows. The provided command, executed from the root of this repository tree, will build Mapbox GL Native targeting your host architecture given that you have all the dependencies installed and run the example app.

OpenCV bindings for Node.js. OpenCV is the defacto computer vision library - by interfacing with it natively in node, we get powerful real time vision in js. People are using node-opencv to fly control quadrocoptors, detect faces from webcam images and annotate video streams. If you're using it for something cool, I'd love to hear about it! You'll need OpenCV 2.3.1 or newer installed before installing node-opencv. You can use opencv to read in image files. Supported formats are in the OpenCV...