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// For Open Source Computer Vision Library
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#include "precomp.hpp"
using namespace cv;
using namespace cv::cuda;
#if !defined HAVE_CUDA || defined(CUDA_DISABLER)
void cv::cuda::pyrDown(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
void cv::cuda::pyrUp(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
#else // HAVE_CUDA
//////////////////////////////////////////////////////////////////////////////
// pyrDown
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
template <typename T> void pyrDown_gpu(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
}
}}}
void cv::cuda::pyrDown(InputArray _src, OutputArray _dst, Stream& stream)
{
using namespace cv::cuda::device::imgproc;
typedef void (*func_t)(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[6][4] =
{
{pyrDown_gpu<uchar> , 0 /*pyrDown_gpu<uchar2>*/ , pyrDown_gpu<uchar3> , pyrDown_gpu<uchar4> },
{0 /*pyrDown_gpu<schar>*/, 0 /*pyrDown_gpu<schar2>*/ , 0 /*pyrDown_gpu<schar3>*/, 0 /*pyrDown_gpu<schar4>*/},
{pyrDown_gpu<ushort> , 0 /*pyrDown_gpu<ushort2>*/, pyrDown_gpu<ushort3> , pyrDown_gpu<ushort4> },
{pyrDown_gpu<short> , 0 /*pyrDown_gpu<short2>*/ , pyrDown_gpu<short3> , pyrDown_gpu<short4> },
{0 /*pyrDown_gpu<int>*/ , 0 /*pyrDown_gpu<int2>*/ , 0 /*pyrDown_gpu<int3>*/ , 0 /*pyrDown_gpu<int4>*/ },
{pyrDown_gpu<float> , 0 /*pyrDown_gpu<float2>*/ , pyrDown_gpu<float3> , pyrDown_gpu<float4> }
};
GpuMat src = _src.getGpuMat();
CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
const func_t func = funcs[src.depth()][src.channels() - 1];
CV_Assert( func != 0 );
_dst.create((src.rows + 1) / 2, (src.cols + 1) / 2, src.type());
GpuMat dst = _dst.getGpuMat();
func(src, dst, StreamAccessor::getStream(stream));
}
//////////////////////////////////////////////////////////////////////////////
// pyrUp
namespace cv { namespace cuda { namespace device
{
namespace imgproc
{
template <typename T> void pyrUp_gpu(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
}
}}}
void cv::cuda::pyrUp(InputArray _src, OutputArray _dst, Stream& stream)
{
using namespace cv::cuda::device::imgproc;
typedef void (*func_t)(PtrStepSzb src, PtrStepSzb dst, cudaStream_t stream);
static const func_t funcs[6][4] =
{
{pyrUp_gpu<uchar> , 0 /*pyrUp_gpu<uchar2>*/ , pyrUp_gpu<uchar3> , pyrUp_gpu<uchar4> },
{0 /*pyrUp_gpu<schar>*/, 0 /*pyrUp_gpu<schar2>*/ , 0 /*pyrUp_gpu<schar3>*/, 0 /*pyrUp_gpu<schar4>*/},
{pyrUp_gpu<ushort> , 0 /*pyrUp_gpu<ushort2>*/, pyrUp_gpu<ushort3> , pyrUp_gpu<ushort4> },
{pyrUp_gpu<short> , 0 /*pyrUp_gpu<short2>*/ , pyrUp_gpu<short3> , pyrUp_gpu<short4> },
{0 /*pyrUp_gpu<int>*/ , 0 /*pyrUp_gpu<int2>*/ , 0 /*pyrUp_gpu<int3>*/ , 0 /*pyrUp_gpu<int4>*/ },
{pyrUp_gpu<float> , 0 /*pyrUp_gpu<float2>*/ , pyrUp_gpu<float3> , pyrUp_gpu<float4> }
};
GpuMat src = _src.getGpuMat();
CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
const func_t func = funcs[src.depth()][src.channels() - 1];
CV_Assert( func != 0 );
_dst.create(src.rows * 2, src.cols * 2, src.type());
GpuMat dst = _dst.getGpuMat();
func(src, dst, StreamAccessor::getStream(stream));
}
#endif