opencv/modules/cudaarithm/src/cuda/add_mat.cu
Vladislav Vinogradov 43e811118b fixed assertion
2013-10-01 12:18:36 +04:00

226 lines
7.9 KiB
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#include "opencv2/opencv_modules.hpp"
#ifndef HAVE_OPENCV_CUDEV
#error "opencv_cudev is required"
#else
#include "opencv2/cudev.hpp"
using namespace cv::cudev;
void addMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, double, Stream& _stream, int);
namespace
{
template <typename T, typename D> struct AddOp1 : binary_function<T, T, D>
{
__device__ __forceinline__ D operator ()(T a, T b) const
{
return saturate_cast<D>(a + b);
}
};
template <typename T, typename D>
void addMat_v1(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream)
{
if (mask.data)
gridTransformBinary(globPtr<T>(src1), globPtr<T>(src2), globPtr<D>(dst), AddOp1<T, D>(), globPtr<uchar>(mask), stream);
else
gridTransformBinary(globPtr<T>(src1), globPtr<T>(src2), globPtr<D>(dst), AddOp1<T, D>(), stream);
}
struct AddOp2 : binary_function<uint, uint, uint>
{
__device__ __forceinline__ uint operator ()(uint a, uint b) const
{
return vadd2(a, b);
}
};
void addMat_v2(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
const int vcols = src1.cols >> 1;
GlobPtrSz<uint> src1_ = globPtr((uint*) src1.data, src1.step, src1.rows, vcols);
GlobPtrSz<uint> src2_ = globPtr((uint*) src2.data, src2.step, src1.rows, vcols);
GlobPtrSz<uint> dst_ = globPtr((uint*) dst.data, dst.step, src1.rows, vcols);
gridTransformBinary(src1_, src2_, dst_, AddOp2(), stream);
}
struct AddOp4 : binary_function<uint, uint, uint>
{
__device__ __forceinline__ uint operator ()(uint a, uint b) const
{
return vadd4(a, b);
}
};
void addMat_v4(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
const int vcols = src1.cols >> 2;
GlobPtrSz<uint> src1_ = globPtr((uint*) src1.data, src1.step, src1.rows, vcols);
GlobPtrSz<uint> src2_ = globPtr((uint*) src2.data, src2.step, src1.rows, vcols);
GlobPtrSz<uint> dst_ = globPtr((uint*) dst.data, dst.step, src1.rows, vcols);
gridTransformBinary(src1_, src2_, dst_, AddOp4(), stream);
}
}
void addMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, double, Stream& stream, int)
{
typedef void (*func_t)(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask, Stream& stream);
static const func_t funcs[7][7] =
{
{
addMat_v1<uchar, uchar>,
addMat_v1<uchar, schar>,
addMat_v1<uchar, ushort>,
addMat_v1<uchar, short>,
addMat_v1<uchar, int>,
addMat_v1<uchar, float>,
addMat_v1<uchar, double>
},
{
addMat_v1<schar, uchar>,
addMat_v1<schar, schar>,
addMat_v1<schar, ushort>,
addMat_v1<schar, short>,
addMat_v1<schar, int>,
addMat_v1<schar, float>,
addMat_v1<schar, double>
},
{
0 /*addMat_v1<ushort, uchar>*/,
0 /*addMat_v1<ushort, schar>*/,
addMat_v1<ushort, ushort>,
addMat_v1<ushort, short>,
addMat_v1<ushort, int>,
addMat_v1<ushort, float>,
addMat_v1<ushort, double>
},
{
0 /*addMat_v1<short, uchar>*/,
0 /*addMat_v1<short, schar>*/,
addMat_v1<short, ushort>,
addMat_v1<short, short>,
addMat_v1<short, int>,
addMat_v1<short, float>,
addMat_v1<short, double>
},
{
0 /*addMat_v1<int, uchar>*/,
0 /*addMat_v1<int, schar>*/,
0 /*addMat_v1<int, ushort>*/,
0 /*addMat_v1<int, short>*/,
addMat_v1<int, int>,
addMat_v1<int, float>,
addMat_v1<int, double>
},
{
0 /*addMat_v1<float, uchar>*/,
0 /*addMat_v1<float, schar>*/,
0 /*addMat_v1<float, ushort>*/,
0 /*addMat_v1<float, short>*/,
0 /*addMat_v1<float, int>*/,
addMat_v1<float, float>,
addMat_v1<float, double>
},
{
0 /*addMat_v1<double, uchar>*/,
0 /*addMat_v1<double, schar>*/,
0 /*addMat_v1<double, ushort>*/,
0 /*addMat_v1<double, short>*/,
0 /*addMat_v1<double, int>*/,
0 /*addMat_v1<double, float>*/,
addMat_v1<double, double>
}
};
const int sdepth = src1.depth();
const int ddepth = dst.depth();
CV_DbgAssert( sdepth <= CV_64F && ddepth <= CV_64F );
GpuMat src1_ = src1.reshape(1);
GpuMat src2_ = src2.reshape(1);
GpuMat dst_ = dst.reshape(1);
if (mask.empty() && (sdepth == CV_8U || sdepth == CV_16U) && ddepth == sdepth)
{
const intptr_t src1ptr = reinterpret_cast<intptr_t>(src1_.data);
const intptr_t src2ptr = reinterpret_cast<intptr_t>(src2_.data);
const intptr_t dstptr = reinterpret_cast<intptr_t>(dst_.data);
const bool isAllAligned = (src1ptr & 31) == 0 && (src2ptr & 31) == 0 && (dstptr & 31) == 0;
if (isAllAligned)
{
if (sdepth == CV_8U && (src1_.cols & 3) == 0)
{
addMat_v4(src1_, src2_, dst_, stream);
return;
}
else if (sdepth == CV_16U && (src1_.cols & 1) == 0)
{
addMat_v2(src1_, src2_, dst_, stream);
return;
}
}
}
const func_t func = funcs[sdepth][ddepth];
if (!func)
CV_Error(cv::Error::StsUnsupportedFormat, "Unsupported combination of source and destination types");
func(src1_, src2_, dst_, mask, stream);
}
#endif