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cuda::polarToCart: Support double precision

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This commit is contained in:
Hamdi Sahloul 2018-09-18 22:37:51 +09:00
parent d5d19a9f67
commit 6203c95d31
1 changed files with 48 additions and 25 deletions
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73
modules/cudaarithm/src/cuda/polar_cart.cu
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@ -157,8 +157,23 @@ void cv::cuda::cartToPolar(InputArray _x, InputArray _y, OutputArray _mag, Outpu
namespace
{
template <bool useMag>
__global__ void polarToCartImpl(const GlobPtr<float> mag, const GlobPtr<float> angle, GlobPtr<float> xmat, GlobPtr<float> ymat, const float scale, const int rows, const int cols)
template <typename T> struct sincos_op
{
__device__ __forceinline__ void operator()(T a, T *sptr, T *cptr) const
{
::sincos(a, sptr, cptr);
}
};
template <> struct sincos_op<float>
{
__device__ __forceinline__ void operator()(float a, float *sptr, float *cptr) const
{
::sincosf(a, sptr, cptr);
}
};
template <typename T, bool useMag>
__global__ void polarToCartImpl_(const GlobPtr<T> mag, const GlobPtr<T> angle, GlobPtr<T> xmat, GlobPtr<T> ymat, const T scale, const int rows, const int cols)
{
const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y;
@ -166,45 +181,53 @@ namespace
if (x >= cols || y >= rows)
return;
const float mag_val = useMag ? mag(y, x) : 1.0f;
const float angle_val = angle(y, x);
const T mag_val = useMag ? mag(y, x) : static_cast<T>(1.0);
const T angle_val = angle(y, x);
float sin_a, cos_a;
::sincosf(scale * angle_val, &sin_a, &cos_a);
T sin_a, cos_a;
sincos_op<T> op;
op(scale * angle_val, &sin_a, &cos_a);
xmat(y, x) = mag_val * cos_a;
ymat(y, x) = mag_val * sin_a;
}
template <typename T>
void polarToCartImpl(const GpuMat& mag, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, cudaStream_t& stream)
{
GpuMat_<T> xc(x.reshape(1));
GpuMat_<T> yc(y.reshape(1));
GpuMat_<T> magc(mag.reshape(1));
GpuMat_<T> anglec(angle.reshape(1));
const dim3 block(32, 8);
const dim3 grid(divUp(anglec.cols, block.x), divUp(anglec.rows, block.y));
const T scale = angleInDegrees ? static_cast<T>(CV_PI / 180.0) : static_cast<T>(1.0);
if (magc.empty())
polarToCartImpl_<T, false> << <grid, block, 0, stream >> >(shrinkPtr(magc), shrinkPtr(anglec), shrinkPtr(xc), shrinkPtr(yc), scale, anglec.rows, anglec.cols);
else
polarToCartImpl_<T, true> << <grid, block, 0, stream >> >(shrinkPtr(magc), shrinkPtr(anglec), shrinkPtr(xc), shrinkPtr(yc), scale, anglec.rows, anglec.cols);
}
}
void cv::cuda::polarToCart(InputArray _mag, InputArray _angle, OutputArray _x, OutputArray _y, bool angleInDegrees, Stream& _stream)
{
typedef void(*func_t)(const GpuMat& mag, const GpuMat& angle, GpuMat& x, GpuMat& y, bool angleInDegrees, cudaStream_t& stream);
static const func_t funcs[7] = { 0, 0, 0, 0, 0, polarToCartImpl<float>, polarToCartImpl<double> };
GpuMat mag = getInputMat(_mag, _stream);
GpuMat angle = getInputMat(_angle, _stream);
CV_Assert( angle.depth() == CV_32F );
CV_Assert(angle.depth() == CV_32F || angle.depth() == CV_64F);
CV_Assert( mag.empty() || (mag.type() == angle.type() && mag.size() == angle.size()) );
GpuMat x = getOutputMat(_x, angle.size(), CV_32FC1, _stream);
GpuMat y = getOutputMat(_y, angle.size(), CV_32FC1, _stream);
GpuMat_<float> xc(x.reshape(1));
GpuMat_<float> yc(y.reshape(1));
GpuMat_<float> magc(mag.reshape(1));
GpuMat_<float> anglec(angle.reshape(1));
const dim3 block(32, 8);
const dim3 grid(divUp(anglec.cols, block.x), divUp(anglec.rows, block.y));
const float scale = angleInDegrees ? (CV_PI_F / 180.0f) : 1.0f;
GpuMat x = getOutputMat(_x, angle.size(), CV_MAKETYPE(angle.depth(), 1), _stream);
GpuMat y = getOutputMat(_y, angle.size(), CV_MAKETYPE(angle.depth(), 1), _stream);
cudaStream_t stream = StreamAccessor::getStream(_stream);
if (magc.empty())
polarToCartImpl<false><<<grid, block, 0, stream>>>(shrinkPtr(magc), shrinkPtr(anglec), shrinkPtr(xc), shrinkPtr(yc), scale, anglec.rows, anglec.cols);
else
polarToCartImpl<true><<<grid, block, 0, stream>>>(shrinkPtr(magc), shrinkPtr(anglec), shrinkPtr(xc), shrinkPtr(yc), scale, anglec.rows, anglec.cols);
funcs[angle.depth()](mag, angle, x, y, angleInDegrees, stream);
CV_CUDEV_SAFE_CALL( cudaGetLastError() );
syncOutput(x, _x, _stream);