opencv/modules/cudawarping/src/pyramids.cpp

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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