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// For Open Source Computer Vision Library
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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 divMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double scale, Stream& stream, int);
void divMat_8uc4_32f(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream);
void divMat_16sc4_32f(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream);
namespace
{
template <typename T, typename D> struct DivOp : binary_function<T, T, D>
{
__device__ __forceinline__ D operator ()(T a, T b) const
{
return b != 0 ? saturate_cast<D>(a / b) : 0;
}
};
template <typename T> struct DivOp<T, float> : binary_function<T, T, float>
{
__device__ __forceinline__ float operator ()(T a, T b) const
{
return b != 0 ? static_cast<float>(a) / b : 0.0f;
}
};
template <typename T> struct DivOp<T, double> : binary_function<T, T, double>
{
__device__ __forceinline__ double operator ()(T a, T b) const
{
return b != 0 ? static_cast<double>(a) / b : 0.0;
}
};
template <typename T, typename S, typename D> struct DivScaleOp : binary_function<T, T, D>
{
S scale;
__device__ __forceinline__ D operator ()(T a, T b) const
{
return b != 0 ? saturate_cast<D>(scale * a / b) : 0;
}
};
template <typename ScalarDepth> struct TransformPolicy : DefaultTransformPolicy
{
};
template <> struct TransformPolicy<double> : DefaultTransformPolicy
{
enum {
shift = 1
};
};
template <typename T, typename S, typename D>
void divMatImpl(const GpuMat& src1, const GpuMat& src2, const GpuMat& dst, double scale, Stream& stream)
{
if (scale == 1)
{
DivOp<T, D> op;
gridTransformBinary_< TransformPolicy<S> >(globPtr<T>(src1), globPtr<T>(src2), globPtr<D>(dst), op, stream);
}
else
{
DivScaleOp<T, S, D> op;
op.scale = static_cast<S>(scale);
gridTransformBinary_< TransformPolicy<S> >(globPtr<T>(src1), globPtr<T>(src2), globPtr<D>(dst), op, stream);
}
}
}
void divMat(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat&, double scale, Stream& stream, int)
{
typedef void (*func_t)(const GpuMat& src1, const GpuMat& src2, const GpuMat& dst, double scale, Stream& stream);
static const func_t funcs[7][7] =
{
{
divMatImpl<uchar, float, uchar>,
divMatImpl<uchar, float, schar>,
divMatImpl<uchar, float, ushort>,
divMatImpl<uchar, float, short>,
divMatImpl<uchar, float, int>,
divMatImpl<uchar, float, float>,
divMatImpl<uchar, double, double>
},
{
divMatImpl<schar, float, uchar>,
divMatImpl<schar, float, schar>,
divMatImpl<schar, float, ushort>,
divMatImpl<schar, float, short>,
divMatImpl<schar, float, int>,
divMatImpl<schar, float, float>,
divMatImpl<schar, double, double>
},
{
0 /*divMatImpl<ushort, float, uchar>*/,
0 /*divMatImpl<ushort, float, schar>*/,
divMatImpl<ushort, float, ushort>,
divMatImpl<ushort, float, short>,
divMatImpl<ushort, float, int>,
divMatImpl<ushort, float, float>,
divMatImpl<ushort, double, double>
},
{
0 /*divMatImpl<short, float, uchar>*/,
0 /*divMatImpl<short, float, schar>*/,
divMatImpl<short, float, ushort>,
divMatImpl<short, float, short>,
divMatImpl<short, float, int>,
divMatImpl<short, float, float>,
divMatImpl<short, double, double>
},
{
0 /*divMatImpl<int, float, uchar>*/,
0 /*divMatImpl<int, float, schar>*/,
0 /*divMatImpl<int, float, ushort>*/,
0 /*divMatImpl<int, float, short>*/,
divMatImpl<int, float, int>,
divMatImpl<int, float, float>,
divMatImpl<int, double, double>
},
{
0 /*divMatImpl<float, float, uchar>*/,
0 /*divMatImpl<float, float, schar>*/,
0 /*divMatImpl<float, float, ushort>*/,
0 /*divMatImpl<float, float, short>*/,
0 /*divMatImpl<float, float, int>*/,
divMatImpl<float, float, float>,
divMatImpl<float, double, double>
},
{
0 /*divMatImpl<double, double, uchar>*/,
0 /*divMatImpl<double, double, schar>*/,
0 /*divMatImpl<double, double, ushort>*/,
0 /*divMatImpl<double, double, short>*/,
0 /*divMatImpl<double, double, int>*/,
0 /*divMatImpl<double, double, float>*/,
divMatImpl<double, 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);
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_, scale, stream);
}
namespace
{
template <typename T>
struct DivOpSpecial : binary_function<T, float, T>
{
__device__ __forceinline__ T operator ()(const T& a, float b) const
{
typedef typename VecTraits<T>::elem_type elem_type;
T res = VecTraits<T>::all(0);
if (b != 0)
{
b = 1.0f / b;
res.x = saturate_cast<elem_type>(a.x * b);
res.y = saturate_cast<elem_type>(a.y * b);
res.z = saturate_cast<elem_type>(a.z * b);
res.w = saturate_cast<elem_type>(a.w * b);
}
return res;
}
};
}
void divMat_8uc4_32f(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
gridTransformBinary(globPtr<uchar4>(src1), globPtr<float>(src2), globPtr<uchar4>(dst), DivOpSpecial<uchar4>(), stream);
}
void divMat_16sc4_32f(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream)
{
gridTransformBinary(globPtr<short4>(src1), globPtr<float>(src2), globPtr<short4>(dst), DivOpSpecial<short4>(), stream);
}
#endif