generic-library/opencv
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added to gpu module linear filters for int and float source types.

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refactored gpu module.
This commit is contained in:
Vladislav Vinogradov
2010-10-20 08:50:14 +00:00
parent ea040ce71a
commit b08f60828b
19 changed files with 1511 additions and 945 deletions
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48
modules/gpu/src/cuda/mathfunc.cu
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@@ -41,6 +41,9 @@
//M*/
#include "cuda_shared.hpp"
#include "saturate_cast.hpp"
#include "transform.hpp"
#include "vecmath.hpp"
using namespace cv::gpu;
@@ -48,6 +51,9 @@ using namespace cv::gpu;
#define CV_PI 3.1415926535897932384626433832795f
#endif
//////////////////////////////////////////////////////////////////////////////////////
// Cart <-> Polar
namespace mathfunc_krnls
{
struct Nothing
@@ -143,8 +149,8 @@ namespace cv { namespace gpu { namespace mathfunc
const float scale = angleInDegrees ? (float)(180.0f / CV_PI) : 1.f;
mathfunc_krnls::cartToPolar<Mag, Angle><<<grid, threads, 0, stream>>>(
x.ptr, x.step / sizeof(float), y.ptr, y.step / sizeof(float),
mag.ptr, mag.step / sizeof(float), angle.ptr, angle.step / sizeof(float), scale, x.cols, x.rows);
x.ptr, x.elem_step, y.ptr, y.elem_step,
mag.ptr, mag.elem_step, angle.ptr, angle.elem_step, scale, x.cols, x.rows);
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
@@ -191,8 +197,8 @@ namespace cv { namespace gpu { namespace mathfunc
const float scale = angleInDegrees ? (float)(CV_PI / 180.0f) : 1.0f;
mathfunc_krnls::polarToCart<Mag><<<grid, threads, 0, stream>>>(mag.ptr, mag.step / sizeof(float),
angle.ptr, angle.step / sizeof(float), scale, x.ptr, x.step / sizeof(float), y.ptr, y.step / sizeof(float), mag.cols, mag.rows);
mathfunc_krnls::polarToCart<Mag><<<grid, threads, 0, stream>>>(mag.ptr, mag.elem_step,
angle.ptr, angle.elem_step, scale, x.ptr, x.elem_step, y.ptr, y.elem_step, mag.cols, mag.rows);
if (stream == 0)
cudaSafeCall( cudaThreadSynchronize() );
@@ -210,3 +216,37 @@ namespace cv { namespace gpu { namespace mathfunc
callers[mag.ptr == 0](mag, angle, x, y, angleInDegrees, stream);
}
}}}
//////////////////////////////////////////////////////////////////////////////////////
// Compare
namespace mathfunc_krnls
{
template <typename T1, typename T2>
struct NotEqual
{
__device__ uchar operator()(const T1& src1, const T2& src2, int, int)
{
return static_cast<uchar>(static_cast<int>(src1 != src2) * 255);
}
};
}
namespace cv { namespace gpu { namespace mathfunc
{
template <typename T1, typename T2>
inline void compare_ne(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst)
{
mathfunc_krnls::NotEqual<T1, T2> op;
transform(static_cast< DevMem2D_<T1> >(src1), static_cast< DevMem2D_<T2> >(src2), dst, op, 0);
}
void compare_ne_8uc4(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst)
{
compare_ne<uint, uint>(src1, src2, dst);
}
void compare_ne_32f(const DevMem2D& src1, const DevMem2D& src2, const DevMem2D& dst)
{
compare_ne<float, float>(src1, src2, dst);
}
}}}