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opencv聯合cuda進行圖像混合操作

#include <cutil_inline.h>
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#include <cv.h>
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#include <cstdio>
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#include <iostream>
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#include <cutil.h>
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#include <ctime>
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#include <cstdlib>
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#include <highgui.h>
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#include <windows.h>
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#pragma comment(lib, "cuda.lib")
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#pragma comment(lib, "cudart.lib")
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#pragma comment(lib, "cutil32.lib")
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#pragma comment(lib, "cv.lib")
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#pragma comment(lib, "cxcore.lib")
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#pragma comment(lib, "highgui.lib")
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using namespace std;
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__global__ void main_kernel(uchar4* d_dataC, uchar4* d_dataA, uchar4* d_dataB, int width, int height)
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{
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unsigned int x = blockIdx.x*blockDim.x+threadIdx.x;
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unsigned int y = blockIdx.y*blockDim.y+threadIdx.y;
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float w = 0.2;
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if( x>0 && x < width && y>0 && y < height )
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{
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d_dataC[y*width+x].x = (unsigned char)(w*d_dataA[y*width+x].x+(1-w)*d_dataB[y*width+x].x);
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d_dataC[y*width+x].y = (unsigned char)(w*d_dataA[y*width+x].y+(1-w)*d_dataB[y*width+x].y);
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d_dataC[y*width+x].z = (unsigned char)(w*d_dataA[y*width+x].z+(1-w)*d_dataB[y*width+x].z);
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d_dataC[y*width+x].w = 0;
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}
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}
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char *filenameA = "01.JPG";
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char *filenameB = "02.JPG";
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int main()
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{
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IplImage *imageA = cvLoadImage(filenameA);
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IplImage *imageB = cvLoadImage(filenameB);
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uchar4* h_image_dataA =(uchar4*)malloc( (imageA->width)*(imageA->height)*sizeof(uchar4) );
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for(int i=0;i <imageA->width;i++)
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{
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for(int j = 0; j <imageA->height; j++)
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{
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h_image_dataA[j*(imageA->width)+i].x = ((unsigned char*)(imageA->imageData+imageA->widthStep*j))[i*3];
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h_image_dataA[j*(imageA->width)+i].y = ((unsigned char*)(imageA->imageData+imageA->widthStep*j))[i*3+1];
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h_image_dataA[j*(imageA->width)+i].z = ((unsigned char*)(imageA->imageData+imageA->widthStep*j))[i*3+2];
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h_image_dataA[j*(imageA->width)+i].w = 0;
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}
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}
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uchar4* h_image_dataB =(uchar4*)malloc( (imageB->width)*(imageB->height)*sizeof(uchar4) );
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for(int i=0;i <imageB->width;i++)
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{
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for(int j = 0; j <imageB->height; j++)
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{
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h_image_dataB[j*(imageB->width)+i].x = ((unsigned char*)(imageB->imageData+imageB->widthStep*j))[i*3];
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h_image_dataB[j*(imageB->width)+i].y = ((unsigned char*)(imageB->imageData+imageB->widthStep*j))[i*3+1];
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h_image_dataB[j*(imageB->width)+i].z = ((unsigned char*)(imageB->imageData+imageB->widthStep*j))[i*3+2];
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h_image_dataB[j*(imageB->width)+i].w = 0;
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}
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}
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uchar4* d_dataA = NULL;
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CUDA_SAFE_CALL( cudaMalloc( (void**)&d_dataA, ( imageA->width*imageA->height*sizeof(uchar4) ) ) );
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uchar4* d_dataB = NULL;
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CUDA_SAFE_CALL( cudaMalloc( (void**)&d_dataB, ( imageB->width*imageB->height*sizeof(uchar4) ) ) );
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uchar4* d_dataC = NULL;
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CUDA_SAFE_CALL( cudaMalloc( (void**)&d_dataC, ( imageB->width*imageB->height*sizeof(uchar4) ) ) );
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CUDA_SAFE_CALL( cudaMemcpy( d_dataA, h_image_dataA, imageA->width*imageA->height*sizeof(uchar4), cudaMemcpyHostToDevice) );
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CUDA_SAFE_CALL( cudaMemcpy( d_dataB, h_image_dataB, imageB->width*imageB->height*sizeof(uchar4), cudaMemcpyHostToDevice) );
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//
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LARGE_INTEGER start_time;
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LARGE_INTEGER end_time;
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double start = GetTickCount();
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QueryPerformanceCounter((LARGE_INTEGER*)&start_time);
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dim3 dimBlock(16, 16, 1);
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dim3 dimGrid( (imageA->width+dimBlock.x-1)/dimBlock.x, (imageA->height+dimBlock.y-1)/dimBlock.y );
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main_kernel<<<dimGrid, dimBlock, 0>>>(d_dataC, d_dataA,d_dataB, imageA->width, imageA->height);
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CUDA_SAFE_CALL(cudaThreadSynchronize());
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float diff_time = 0.0f;
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QueryPerformanceCounter((LARGE_INTEGER*)&end_time);
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diff_time = (float)(((double)end_time.QuadPart - (double)start_time.QuadPart) / 1000000);
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printf( "time=%f ms\n", diff_time);
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double end = (GetTickCount() - start)/1000;
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printf("time used:%f s\n",end);
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IplImage* imageC = cvCreateImage(cvGetSize(imageA),imageA->depth, imageA->nChannels );
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uchar4* h_image_dataC =(uchar4*)malloc( (imageC->width)*(imageC->height)*sizeof(uchar4) );
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CUDA_SAFE_CALL( cudaMemcpy( h_image_dataC, d_dataC, imageC->width*imageC->height*sizeof(uchar4), cudaMemcpyDeviceToHost) );
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for(int i=0;i <imageC->width;i++)
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{
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for(int j = 0; j <imageC->height; j++)
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{
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((unsigned char*)(imageC->imageData+imageC->widthStep*j))[i*3] = h_image_dataC[j*imageC->width+i].x;
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((unsigned char*)(imageC->imageData+imageC->widthStep*j))[i*3+1] = h_image_dataC[j*imageC->width+i].y;
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((unsigned char*)(imageC->imageData+imageC->widthStep*j))[i*3+2] = h_image_dataC[j*imageC->width+i].z;
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}
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}
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cvNamedWindow("test",CV_WINDOW_AUTOSIZE);
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cvShowImage("test",imageC);
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cvWaitKey(0);
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cvDestroyAllWindows();
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CUDA_SAFE_CALL(cudaFree(d_dataA));
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CUDA_SAFE_CALL(cudaFree(d_dataB));
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CUDA_SAFE_CALL(cudaFree(d_dataC));
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free(h_image_dataA);
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free(h_image_dataB);
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free(h_image_dataC);
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cvReleaseImage(&imageA);
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cvReleaseImage(&imageB);
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cvReleaseImage(&imageC);
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return 0;
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}

posted on 2009-12-25 10:48 noBugnoGain 閱讀(4987) 評論(9) 編輯收藏引用

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