Difference between revisions of "CoE Cluster november 2011/CUDA"
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(Created page with "// Read image from file, remove blue channel and write onto another file #include <iostream> #include <string> #include <sstream> #include <cv.h> #include <highgui.h> using name...") |
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− | // Read image from file, remove blue channel and write onto another file | + | <pre>// Read image from file, remove blue channel and write onto another file |
− | + | include <iostream> | |
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− | + | include <string> | |
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+ | include <sstream> | ||
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+ | include <cv.h> | ||
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+ | include <highgui.h> | ||
− | + | using namespace cv; using namespace std; | |
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− | + | include "PixelMat.hpp" | |
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− | + | void startCUDA(int blocks, int threads, unsigned char* img, int rows, int cols, int step); | |
− | + | int main(int argc, char* argv[]) { | |
− | + | int blocks = 0; | |
− | + | int threads = 0; | |
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− | + | if (argc > 4) | |
− | + | { | |
+ | istringstream buf1(argv[1]); | ||
+ | buf1 >> blocks; | ||
+ | istringstream buf2(argv[2]); | ||
+ | buf2 >> threads; | ||
+ | PixelMat img = (PixelMat) imread(argv[3],-1); | ||
+ | int rows = img.rows; | ||
+ | int cols = img.cols; | ||
+ | int step = img.step; | ||
+ | fprintf(stderr, "%d\n", step); | ||
+ | startCUDA(blocks, threads, img.data, rows, cols, step); | ||
− | + | imwrite(argv[4], img); | |
+ | } | ||
+ | else | ||
+ | cout << "Usage: " << argv[0] << " <blocks> <threads> <inputfile> <outputfile>" << endl; | ||
− | + | return 0; | |
+ | } </pre> | ||
+ | <br> | ||
+ | <pre><span style="display: none;" id="1323422515452S"> </span>// removeblue.cu // Read image from file, remove blue channel and write onto another file //#include <stdio.h> //#include <stdlib.h> //#include <unistd.h> __device__ void RGB(int x, int y, unsigned char* m, int step, int r, int g, int b) { unsigned char *p; p = ((unsigned char *) (m + step*x))+3*y; *p = (unsigned char) b; *(p+1) = (unsigned char) g; *(p+2) = (unsigned char) r; } __device__ void RGB(int x, int y, unsigned char* m, int step, int rgb) { unsigned char *p; p = ((unsigned char *) (m + step*x)+3*y); *p = (unsigned char) (rgb&0xff); *(p+1) = (unsigned char) ((rgb>>8)&0xff); *(p+2) = (unsigned char) ((rgb>>16)&0xff); } __device__ int RGB(int x, int y, unsigned char* m, int step) { unsigned char *p; unsigned int b; p = ((unsigned char *) (m + step*x)+3*y); b = *p+((*(p+1))<<8)+((*(p+2))<<16); } | ||
+ | __global__ void Count(unsigned char *img, int rows, int cols, int step)<br>{<br> float rowfac = ((float) rows)/gridDim.x;<br> int rowstart = blockIdx.x*rowfac;<br> int rowend = (blockIdx.x+1)*rowfac;<br> float colfac = ((float) cols)/blockDim.x;<br> int colstart = threadIdx.x*colfac;<br> int colend = (threadIdx.x+1)*colfac;<br> for (int i=rowstart; i<rowend; i++)<br> {<br> for (int j=colstart; j<colend; j++)<br> RGB(i, j, img, step, RGB(i, j, img, step)&0x0000ff);<br> }<br>} | ||
− | + | void startCUDA(int blocks, int threads, unsigned char* img, int rows, int cols, int step)<br>{<br> if (img!=NULL)<br> {<br> dim3 dimBlock(threads, threads, 1);<br> dim3 dimGrid(blocks, 1, 1); | |
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− | + | unsigned char *CUDAimg;<br> cudaMalloc((void**) &CUDAimg, rows*cols*3);<br> cudaMemcpy(CUDAimg, img, rows*cols*3, cudaMemcpyHostToDevice);<br> Count<<<dimGrid, dimBlock>>>(CUDAimg, rows, cols, step);<br> cudaMemcpy(img, CUDAimg, rows*cols*3, cudaMemcpyDeviceToHost);<br> cudaFree(CUDAimg);<br> }<br>}<span style="display: none;" id="1323422515704E"> </span><br> | |
− | + | </pre> | |
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Revision as of 10:25, 9 December 2011
// Read image from file, remove blue channel and write onto another file include <iostream> include <string> include <sstream> include <cv.h> include <highgui.h> using namespace cv; using namespace std; include "PixelMat.hpp" void startCUDA(int blocks, int threads, unsigned char* img, int rows, int cols, int step); int main(int argc, char* argv[]) { int blocks = 0; int threads = 0; if (argc > 4) { istringstream buf1(argv[1]); buf1 >> blocks; istringstream buf2(argv[2]); buf2 >> threads; PixelMat img = (PixelMat) imread(argv[3],-1); int rows = img.rows; int cols = img.cols; int step = img.step; fprintf(stderr, "%d\n", step); startCUDA(blocks, threads, img.data, rows, cols, step); imwrite(argv[4], img); } else cout << "Usage: " << argv[0] << " <blocks> <threads> <inputfile> <outputfile>" << endl; return 0; }
<span style="display: none;" id="1323422515452S"> </span>// removeblue.cu // Read image from file, remove blue channel and write onto another file //#include <stdio.h> //#include <stdlib.h> //#include <unistd.h> __device__ void RGB(int x, int y, unsigned char* m, int step, int r, int g, int b) { unsigned char *p; p = ((unsigned char *) (m + step*x))+3*y; *p = (unsigned char) b; *(p+1) = (unsigned char) g; *(p+2) = (unsigned char) r; } __device__ void RGB(int x, int y, unsigned char* m, int step, int rgb) { unsigned char *p; p = ((unsigned char *) (m + step*x)+3*y); *p = (unsigned char) (rgb&0xff); *(p+1) = (unsigned char) ((rgb>>8)&0xff); *(p+2) = (unsigned char) ((rgb>>16)&0xff); } __device__ int RGB(int x, int y, unsigned char* m, int step) { unsigned char *p; unsigned int b; p = ((unsigned char *) (m + step*x)+3*y); b = *p+((*(p+1))<<8)+((*(p+2))<<16); } __global__ void Count(unsigned char *img, int rows, int cols, int step)<br>{<br> float rowfac = ((float) rows)/gridDim.x;<br> int rowstart = blockIdx.x*rowfac;<br> int rowend = (blockIdx.x+1)*rowfac;<br> float colfac = ((float) cols)/blockDim.x;<br> int colstart = threadIdx.x*colfac;<br> int colend = (threadIdx.x+1)*colfac;<br> for (int i=rowstart; i<rowend; i++)<br> {<br> for (int j=colstart; j<colend; j++)<br> RGB(i, j, img, step, RGB(i, j, img, step)&0x0000ff);<br> }<br>} void startCUDA(int blocks, int threads, unsigned char* img, int rows, int cols, int step)<br>{<br> if (img!=NULL)<br> {<br> dim3 dimBlock(threads, threads, 1);<br> dim3 dimGrid(blocks, 1, 1); unsigned char *CUDAimg;<br> cudaMalloc((void**) &CUDAimg, rows*cols*3);<br> cudaMemcpy(CUDAimg, img, rows*cols*3, cudaMemcpyHostToDevice);<br> Count<<<dimGrid, dimBlock>>>(CUDAimg, rows, cols, step);<br> cudaMemcpy(img, CUDAimg, rows*cols*3, cudaMemcpyDeviceToHost);<br> cudaFree(CUDAimg);<br> }<br>}<span style="display: none;" id="1323422515704E"> </span><br>