opencv/modules/cudaarithm/src/core.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::merge(const GpuMat*, size_t, OutputArray, Stream&) { throw_no_cuda(); }
void cv::cuda::merge(const std::vector<GpuMat>&, OutputArray, Stream&) { throw_no_cuda(); }

void cv::cuda::split(InputArray, GpuMat*, Stream&) { throw_no_cuda(); }
void cv::cuda::split(InputArray, std::vector<GpuMat>&, Stream&) { throw_no_cuda(); }

void cv::cuda::transpose(InputArray, OutputArray, Stream&) { throw_no_cuda(); }

void cv::cuda::flip(InputArray, OutputArray, int, Stream&) { throw_no_cuda(); }

Ptr<LookUpTable> cv::cuda::createLookUpTable(InputArray) { throw_no_cuda(); return Ptr<LookUpTable>(); }

void cv::cuda::copyMakeBorder(InputArray, OutputArray, int, int, int, int, int, Scalar, Stream&) { throw_no_cuda(); }

#else /* !defined (HAVE_CUDA) */

////////////////////////////////////////////////////////////////////////
// flip

namespace
{
    template<int DEPTH> struct NppTypeTraits;
    template<> struct NppTypeTraits<CV_8U>  { typedef Npp8u npp_t; };
    template<> struct NppTypeTraits<CV_8S>  { typedef Npp8s npp_t; };
    template<> struct NppTypeTraits<CV_16U> { typedef Npp16u npp_t; };
    template<> struct NppTypeTraits<CV_16S> { typedef Npp16s npp_t; };
    template<> struct NppTypeTraits<CV_32S> { typedef Npp32s npp_t; };
    template<> struct NppTypeTraits<CV_32F> { typedef Npp32f npp_t; };
    template<> struct NppTypeTraits<CV_64F> { typedef Npp64f npp_t; };

    template <int DEPTH> struct NppMirrorFunc
    {
        typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;

        typedef NppStatus (*func_t)(const npp_t* pSrc, int nSrcStep, npp_t* pDst, int nDstStep, NppiSize oROI, NppiAxis flip);
    };

    template <int DEPTH, typename NppMirrorFunc<DEPTH>::func_t func> struct NppMirror
    {
        typedef typename NppMirrorFunc<DEPTH>::npp_t npp_t;

        static void call(const GpuMat& src, GpuMat& dst, int flipCode, cudaStream_t stream)
        {
            NppStreamHandler h(stream);

            NppiSize sz;
            sz.width  = src.cols;
            sz.height = src.rows;

            nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step),
                dst.ptr<npp_t>(), static_cast<int>(dst.step), sz,
                (flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );

            if (stream == 0)
                cudaSafeCall( cudaDeviceSynchronize() );
        }
    };
}

void cv::cuda::flip(InputArray _src, OutputArray _dst, int flipCode, Stream& stream)
{
    typedef void (*func_t)(const GpuMat& src, GpuMat& dst, int flipCode, cudaStream_t stream);
    static const func_t funcs[6][4] =
    {
        {NppMirror<CV_8U, nppiMirror_8u_C1R>::call, 0, NppMirror<CV_8U, nppiMirror_8u_C3R>::call, NppMirror<CV_8U, nppiMirror_8u_C4R>::call},
        {0,0,0,0},
        {NppMirror<CV_16U, nppiMirror_16u_C1R>::call, 0, NppMirror<CV_16U, nppiMirror_16u_C3R>::call, NppMirror<CV_16U, nppiMirror_16u_C4R>::call},
        {0,0,0,0},
        {NppMirror<CV_32S, nppiMirror_32s_C1R>::call, 0, NppMirror<CV_32S, nppiMirror_32s_C3R>::call, NppMirror<CV_32S, nppiMirror_32s_C4R>::call},
        {NppMirror<CV_32F, nppiMirror_32f_C1R>::call, 0, NppMirror<CV_32F, nppiMirror_32f_C3R>::call, NppMirror<CV_32F, nppiMirror_32f_C4R>::call}
    };

    GpuMat src = getInputMat(_src, stream);

    CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S || src.depth() == CV_32F);
    CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);

    _dst.create(src.size(), src.type());
    GpuMat dst = getOutputMat(_dst, src.size(), src.type(), stream);

    funcs[src.depth()][src.channels() - 1](src, dst, flipCode, StreamAccessor::getStream(stream));

    syncOutput(dst, _dst, stream);
}

#endif /* !defined (HAVE_CUDA) */