但是其cuda源码是有问题的，没有cmakelists.txt

背景
采用cuda gpu交换opencv图像的 r， b通道

0. 代码

main.cpp

#include <stdlib.h>
#include <stdio.h>
#include <opencv/cv.h>
#include <opencv/highgui.h>
#include <opencv2/opencv.hpp>

#include "cuda_runtime.h"
#include "device_launch_parameters.h"

using namespace cv;


extern "C" void swap_rb_caller(const uchar3* src,uchar3* dst,int width,int height);
 
int main()
{
    Mat image = imread("lena_1.jpg");
    imshow("src",image);
    
    size_t memSize1 = image.cols*image.rows*sizeof(uchar3);
    int memSize = image.step * image.rows;
    uchar3* d_src = NULL;
    uchar3* d_dst = NULL;
    cudaMalloc((void**)&d_src,memSize);
    cudaMalloc((void**)&d_dst,memSize);
    cudaMemcpy(d_src,image.data,memSize,cudaMemcpyHostToDevice);
    
    swap_rb_caller(d_src, d_dst, image.cols, image.rows);
    
    cudaMemcpy(image.data,d_dst,memSize,cudaMemcpyDeviceToHost);
    imshow("gpu",image);
    waitKey(0);
    
    cudaFree(d_src);
    cudaFree(d_dst);
    return 0;
}

kernel.cu

#include "cuda_runtime.h"
#include "device_launch_parameters.h"

__global__ void swap_rb_kernel(const uchar3* src,uchar3* dst,int width,int height)
{
    int x = threadIdx.x + blockIdx.x * blockDim.x;
    int y = threadIdx.y + blockIdx.y * blockDim.y;
    
    if(x < width && y < height)
    {
        uchar3 v = src[y * width + x];
        dst[y * width + x].x = v.z;
        dst[y * width + x].y = v.y;
        dst[y * width + x].z = v.x;
    }
}

extern "C"
void swap_rb_caller(const uchar3* src,uchar3* dst,int width,int height)
{
    dim3 block(32,32);
    dim3 grid((width + block.x - 1)/block.x, (height + block.y - 1)/block.y);
    
    swap_rb_kernel<<<grid,block,0>>>(src, dst, width, height);

    cudaDeviceSynchronize();
}

cmakelists.txt

cmake_minimum_required(VERSION 2.8.0)
project(demo)

set(CMAKE_BUILD_TYPE Debug)
# OPENCV
find_package(OpenCV REQUIRED)

include_directories(${OpenCV_INCLUDE_DIRS})

find_package(CUDA REQUIRED)

CUDA_ADD_EXECUTABLE(demo main.cpp kernel.cu)
target_link_libraries(demo ${OpenCV_LIBS})

 

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1. 结果

【cuda】——cuda，opencv混合编程_javascript