VTK实例高斯随机数的生成
这个例子演示了从一个平均数是0.0和标准偏差是2.2的高斯分布中随机生成3个随机数。先创建两个文件:GaussianRandomNumber.cpp和CMakeLists.txt。
代码如下:
GaussianRandomNumber.cxx
#include <vtkBoxMuellerRandomSequence.h>
#include <vtkNew.h>
int main(int, char*[])
{
// The number of random numbers we wish to produce
unsigned int numRand = 3;
vtkNew<vtkBoxMuellerRandomSequence> randomSequence;
// Generate numRand random numbers from a Gaussian distribution with mean 0.0
// and standard deviation 2.2
auto mean = 0.0;
auto standardDeviation = 2.2;
for (unsigned int i = 0; i < numRand; i++)
{
auto a = randomSequence->GetScaledValue(mean, standardDeviation);
randomSequence->Next();
std::cout << a << std::endl;
}
return EXIT_SUCCESS;
}
CMakeLists.txt
cmake_minimum_required(VERSION 3.3 FATAL_ERROR)
project(GaussianRandomNumber)
find_package(VTK COMPONENTS
vtkCommonCore
QUIET
)
if (NOT VTK_FOUND)
message("Skipping GaussianRandomNumber: ${VTK_NOT_FOUND_MESSAGE}")
return ()
endif()
message (STATUS "VTK_VERSION: ${VTK_VERSION}")
if (VTK_VERSION VERSION_LESS "8.90.0")
# old system
include(${VTK_USE_FILE})
add_executable(GaussianRandomNumber MACOSX_BUNDLE GaussianRandomNumber.cxx )
target_link_libraries(GaussianRandomNumber PRIVATE ${VTK_LIBRARIES})
else ()
# include all components
add_executable(GaussianRandomNumber MACOSX_BUNDLE GaussianRandomNumber.cxx )
target_link_libraries(GaussianRandomNumber PRIVATE ${VTK_LIBRARIES})
# vtk_module_autoinit is needed
vtk_module_autoinit(
TARGETS GaussianRandomNumber
MODULES ${VTK_LIBRARIES}
)
endif ()
编译
将以上两个文件放在自定义文件夹里,再新建一个build目录,用于存放编译后生成的文件。打开CMake程序,编译设置界面如下:
调试
在刚刚生成的build目录下,以管理员身份打开vs2019,再打开.sln文件,点击build生成解决方案,如下图:
并将GaussianRandomNumber设为启动项,
进行本地调试,生成三个随机数:
//注:确保将VTK bin目录添加到路径中,这将在运行时解析VTK 的dll文件。
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