opencv/modules/gpu/src/cuda/imgproc.cu

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/*M///////////////////////////////////////////////////////////////////////////////////////
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// License Agreement
// For Open Source Computer Vision Library
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#include "cuda_shared.hpp"
using namespace cv::gpu;
namespace imgproc
{
texture<unsigned char, 2, cudaReadModeNormalizedFloat> tex;
__global__ void kernel_remap(const float *mapx, const float *mapy, size_t map_step, unsigned char* out, size_t out_step, int width, int height)
{
int x = blockDim.x * blockIdx.x + threadIdx.x;
int y = blockDim.y * blockIdx.y + threadIdx.y;
if (x < width && y < height)
{
int idx = y * (map_step >> 2) + x; /* map_step >> 2 <=> map_step / sizeof(float)*/
float xcoo = mapx[idx];
float ycoo = mapy[idx];
out[y * out_step + x] = (unsigned char)(255.f * tex2D(tex, xcoo, ycoo));
}
}
}
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namespace cv { namespace gpu { namespace impl
{
using namespace imgproc;
extern "C" void remap_gpu(const DevMem2D& src, const DevMem2D_<float>& xmap, const DevMem2D_<float>& ymap, DevMem2D dst)
{
dim3 block(16, 16, 1);
dim3 grid(1, 1, 1);
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grid.x = divUp(dst.cols, block.x);
grid.y = divUp(dst.rows, block.y);
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tex.filterMode = cudaFilterModeLinear;
tex.addressMode[0] = tex.addressMode[1] = cudaAddressModeWrap;
cudaChannelFormatDesc desc = cudaCreateChannelDesc<unsigned char>();
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cudaSafeCall( cudaBindTexture2D(0, tex, src.ptr, desc, dst.cols, dst.rows, src.step) );
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kernel_remap<<<grid, block>>>(xmap.ptr, ymap.ptr, xmap.step, dst.ptr, dst.step, dst.cols, dst.rows);
cudaSafeCall( cudaThreadSynchronize() );
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cudaSafeCall( cudaUnbindTexture(tex) );
}
}}}