cuda版opencv（灰度转换）

程序名字为main.cu

//#include "cuda_check.h"
#include 
#include 
#include 
#include 
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include 
#include 
 
//=================CUDA实现图像灰度化====================
__global__ void BGR2GRAYincuda(uchar3* const d_in, unsigned char* const d_out,
    uint imgheight, uint imgwidth)
{
    const unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
    const unsigned int idy = blockIdx.y * blockDim.y + threadIdx.y;
 
    if (idx < imgwidth && idy < imgheight)
    {
        uchar3 rgb = d_in[idy * imgwidth + idx];
        d_out[idy * imgwidth + idx] = 0.299f * rgb.x + 0.587f * rgb.y + 0.114f * rgb.z;
    }
}
 
 
 
 
int main()
{
    cv::Mat img1 = cv::imread("H:\opencv_project\opencv_cuda学习\image\hist_02.jpg");
 
    int imgHeight = img1.rows;
    int imgWidth = img1.cols;
 
    int length = imgWidth * imgHeight;
 
    //============CUDA实现后的传回的图像=======
    cv::Mat grayImg(imgHeight, imgWidth, CV_8UC1, cv::Scalar(255)); 
 
    //==============创建GPU内存============
    uchar3* d_in1;
    unsigned char* d_out;
    cudaMalloc((void**)&d_in1, imgHeight * imgWidth * sizeof(char3));
    cudaMalloc((void**)&d_out, imgHeight * imgWidth * sizeof(unsigned char));
 
    //===========将图像从CPU传入GPU========
    cudaMemcpy(d_in1, img1.data, imgHeight * imgWidth * sizeof(char3), cudaMemcpyHostToDevice);
   
    //===========3维网格和3维线程块===========
    dim3 grid(1 + (length / (32 * 32 + 1)), 1, 1);      // grid
    dim3 block(32, 32, 1);
 
    //=========使用2维网格和2维的线程块========
    dim3 block2(16, 16);
    dim3 grid2((imgWidth + block2.x - 1) / block2.x, (imgHeight + block2.y - 1) / block2.y);
    
 
    //调用核函数
    BGR2GRAYincuda << > > (d_in1, d_out, imgHeight, imgWidth);
 
    cudaMemcpy(grayImg.data, d_out, imgHeight * imgWidth * sizeof(unsigned char), cudaMemcpyDeviceToHost);
 
 
    //释放GPU内存
    cudaFree(d_in1);
    cudaFree(d_out);
    cv::namedWindow("mm",cv::WINDOW_NORMAL);
    cv::imshow("mm", grayImg);
    cv::waitKey(0);
    return 0;
}

工程文件名字为pro_cuda_opencv

# required cmake version
cmake_minimum_required(VERSION 3.3)
# CMakeLists.txt for G4CU project
project(pro_cuda_opencv)

set(CMAKE_CXX_COMPILER g++)
set(CMAKE_CXX_FLAGS  "-std=c++11")

# packages
find_package(CUDA REQUIRED)
#find_package(OPENCV REQUIRED)
set(OpenCV_DIR /home/opencv-4.1.2/build)
find_package(OpenCV REQUIRED)
message(${OpenCV_LIBS} )
set(CUDA_USE_STATIC_CUDA_RUNTIME OFF)          
# nvcc flags
set(CUDA_NVCC_FLAGS -gencode arch=compute_52,code=sm_52;-G;-g)

#file(GLOB CURRENT_SOURCES main.cu)

CUDA_ADD_EXECUTABLE(pro_cuda_opencv main.cu)

target_link_libraries( ${PROJECT_NAME} ${CURRENT_SOURCES} ${OpenCV_LIBS})

参考文章

• https://blog.csdn.net/zhangdaoliang1/article/details/122170669
• https://www.freesion.com/article/6226191106/