aurelien's profile - activity

Hi, I would like to know if someone can explain me how OpenCV computes multiplication for very big image (1920*1080). I have to create a specific image processing but my kernel is very slow. So I have created a kernel for just a multiplication. It takes 45ms against 0ms (1ms) with OpenCV_gpu multiplication. How to optimize the number of thread and wrap for my application (for my real application I use 7 ints and 9 floats for my computation)?

Hi everybody. I would like to know how to add .cu file to the OPENCV source. To test a CUDA function, I have written a simple function who adds a value to all pixels of matrix. But when I compile the project, I obtain link error. I follow the same scheme as for pyrup functions: - Templates functions in .cu file - I create the declaration of the host function in the gpu.hpp file and I create a .cpp file in which I define the host function (which called the CUDA function). If I put my function in original sources files (pyr_up.cu , gpu.hpp, pyramids.cpp), I can build the solution and access to the function, but not if I create new files… I’ve got one error by each type of data, they all looks like to : Erreur 101 error LNK2001: symbole externe non résolu "void __cdecl cv::gpu::device::imgproc::test_gpu<float>(struct cv::gpu::DevMem2D_<unsigned char="">,struct cv::gpu::DevMem2D_<unsigned char="">,struct CUstream_st *)" (??$test_gpu@M@imgproc@device@gpu@cv@@YAXU?$DevMem2D_@E@23@0PAUCUstream_st@@@Z) F:\install_opencv_cuda_modif\modules\gpu\testCuda.obj

Thanks a lot ;-)

The processing on the GPU give me wrong result and noise(not randomly). This is my code :

Mat ker(3,3,CV_8S);
// gain=0
ker.at<char>(0,0)=-(1+gain),ker.at<char>(0,1)=-(1+gain),ker.at<char>(0,2)=-(1+gain);
ker.at<char>(1,0)=-(1+gain),ker.at<char>(1,1)=(1+gain)*8,ker.at<char>(1,2)=-(1+gain);
ker.at<char>(2,0)=-(1+gain),ker.at<char>(2,1)=-(1+gain),ker.at<char>(2,2)=-(1+gain);
Mat test(taille,taille,CV_8UC1,125);
for(int x=0;x<taille;x++)
{
    for(int y=0;y<taille;y++)
    {
     //   test.at<uchar>(y,x)=((x%2)^(y%2))*255; //corect
            test.at<uchar>(y,x)=x+y;
    }
}
Mat res;
Mat temp;
test.copyTo((temp,test));
GpuMat resgpu(test);

test.copyTo(res,test);
filter2D(res,res,res.depth(),ker);
filter2D(resgpu,resgpu,resgpu.depth(),ker);
vector<int> compression_params;
compression_params.push_back(CV_IMWRITE_JPEG_QUALITY );
compression_params.push_back(100);

imwrite("aze.jpg",test,compression_params);
imwrite("aze_filtre.jpg",res,compression_params);
imwrite("aze_filtre_gpu.jpg",Mat(resgpu),compression_params);

correct:cpu:

:

wrong:gpu: