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TinyMAT
a library to write Matlab MAT-files
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This page explains how to build TinyMAT.
The preferred way to build TinyMAT is using CMake. You can find a detailed explanation of CMake at https://cliutils.gitlab.io/modern-cmake/. The CMake-build is defined in CMakeLists.txt files, found in many of the directories of the code repository. Especially in the root directory and the two subdirectories ./src/ and ./examples/ .
You can use (MinGW) Makefiles by calling:
Note that we set several compiler options on the first run of cmake. The options are describe in detail below in Configuring a Build with CMake .
For Visual Studio it could look like this:
Where <path_to_your_qt_sources> could be e.g. C:/development/Qt5/5.12.0/msvc2017_64 . This call results in a Visual Studio solution build/TinyMAT.sln that you can load and compile from the Visual Studio IDE. Alternatively you can also build the solution directly calling:
Afterwards you can install the library by
The CMake build system offers several configuration variables that you may set/change to modify the outcome of the build:
CMAKE_PREFIX_PATH : add the path to your Qt installatrion to this variable, so the find_package(Qt5...) commands find the libraries you want to useBUILD_SHARED_LIBS : Build as static library (default: OFF )TinyMAT_BUILD_DECORATE_LIBNAMES_WITH_BUILDTYPE : If set, the build-type is appended to the library name (default: ON )TinyMAT_QT_SUPPORT : build with support for Qt5/6 datatypes ... you'll need to make sure that Qt5/6 can be found on your system, e.g. by providing CMAKE_PREFIX_PATH= <path_to_your_qt_sources>TinyMAT_OPENCV_SUPPORT : enables support for OpenCV ... you'll need to make sure that Open can be found on your system, e.g. by providing CMAKE_PREFIX_PATH= <path_to_your_opencv_sources>TinyMAT_BUILD_EXAMPLES : Build examples (default: ON )CMAKE_INSTALL_PREFIX : Install directory for the library