如何从cmak的角度在qt creator中使用opencv Cuda

cmake_minimum_required(VERSION 3.5)

project(OpencvCudaExample)

# 设置CMake参数
set(CMAKE_PREFIX_PATH "/path/to/Qt/5.x.x/gcc_64")  # Qt安装路径
set(CMAKE_CUDA_COMPILER "/usr/local/cuda/bin/nvcc")  # CUDA编译器路径

# 添加Qt和OpenCV的模块
find_package(Qt5 REQUIRED COMPONENTS Core Gui Widgets)
find_package(OpenCV REQUIRED COMPONENTS core cudaimgproc cudafilters)

# 添加项目源文件
set(SOURCES main.cpp)

# 创建可执行文件
add_executable(${PROJECT_NAME} ${SOURCES})

# 链接Qt和OpenCV库
target_link_libraries(${PROJECT_NAME} PRIVATE Qt5::Core Qt5::Gui Qt5::Widgets ${OpenCV_LIBS})

# 设置Qt Creator相关信息
set_target_properties(${PROJECT_NAME} PROPERTIES AUTOMOC ON)
set_target_properties(${PROJECT_NAME} PROPERTIES AUTOUIC ON)
set_target_properties(${PROJECT_NAME} PROPERTIES AUTORCC ON)

#include <QCoreApplication>
#include <opencv2/core.hpp>
#include <opencv2/cudaimgproc.hpp>
#include <opencv2/cudafilters.hpp>

int main(int argc, char *argv[])
{
    QCoreApplication a(argc, argv);

    // 使用OpenCV CUDA功能
    cv::Mat srcImage;
    cv::cuda::GaussianBlur(cv::cuda::GpuMat(), cv::cuda::GpuMat(), cv::Size(3, 3), 0);

    return a.exec();
}