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      1 /*M///////////////////////////////////////////////////////////////////////////////////////
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      6 //  If you do not agree to this license, do not download, install,
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      8 //
      9 //
     10 //                           License Agreement
     11 //                For Open Source Computer Vision Library
     12 //
     13 // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
     14 // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
     15 // Third party copyrights are property of their respective owners.
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     24 //     this list of conditions and the following disclaimer in the documentation
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     39 // the use of this software, even if advised of the possibility of such damage.
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     41 //M*/
     42 
     43 #include "precomp.hpp"
     44 
     45 using namespace cv;
     46 using namespace cv::cuda;
     47 
     48 #if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
     49 
     50 void cv::cuda::merge(const GpuMat*, size_t, OutputArray, Stream&) { throw_no_cuda(); }
     51 void cv::cuda::merge(const std::vector<GpuMat>&, OutputArray, Stream&) { throw_no_cuda(); }
     52 
     53 void cv::cuda::split(InputArray, GpuMat*, Stream&) { throw_no_cuda(); }
     54 void cv::cuda::split(InputArray, std::vector<GpuMat>&, Stream&) { throw_no_cuda(); }
     55 
     56 void cv::cuda::transpose(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
     57 
     58 void cv::cuda::flip(InputArray, OutputArray, int, Stream&) { throw_no_cuda(); }
     59 
     60 Ptr<LookUpTable> cv::cuda::createLookUpTable(InputArray) { throw_no_cuda(); return Ptr<LookUpTable>(); }
     61 
     62 void cv::cuda::copyMakeBorder(InputArray, OutputArray, int, int, int, int, int, Scalar, Stream&) { throw_no_cuda(); }
     63 
     64 #else /* !defined (HAVE_CUDA) */
     65 
     66 ////////////////////////////////////////////////////////////////////////
     67 // flip
     68 
     69 namespace
     70 {
     71     template<int DEPTH> struct NppTypeTraits;
     72     template<> struct NppTypeTraits<CV_8U>  { typedef Npp8u npp_t; };
     73     template<> struct NppTypeTraits<CV_8S>  { typedef Npp8s npp_t; };
     74     template<> struct NppTypeTraits<CV_16U> { typedef Npp16u npp_t; };
     75     template<> struct NppTypeTraits<CV_16S> { typedef Npp16s npp_t; };
     76     template<> struct NppTypeTraits<CV_32S> { typedef Npp32s npp_t; };
     77     template<> struct NppTypeTraits<CV_32F> { typedef Npp32f npp_t; };
     78     template<> struct NppTypeTraits<CV_64F> { typedef Npp64f npp_t; };
     79 
     80     template <int DEPTH> struct NppMirrorFunc
     81     {
     82         typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;
     83 
     84         typedef NppStatus (*func_t)(const npp_t* pSrc, int nSrcStep, npp_t* pDst, int nDstStep, NppiSize oROI, NppiAxis flip);
     85     };
     86 
     87     template <int DEPTH, typename NppMirrorFunc<DEPTH>::func_t func> struct NppMirror
     88     {
     89         typedef typename NppMirrorFunc<DEPTH>::npp_t npp_t;
     90 
     91         static void call(const GpuMat& src, GpuMat& dst, int flipCode, cudaStream_t stream)
     92         {
     93             NppStreamHandler h(stream);
     94 
     95             NppiSize sz;
     96             sz.width  = src.cols;
     97             sz.height = src.rows;
     98 
     99             nppSafeCall( func(src.ptr<npp_t>(), static_cast<int>(src.step),
    100                 dst.ptr<npp_t>(), static_cast<int>(dst.step), sz,
    101                 (flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );
    102 
    103             if (stream == 0)
    104                 cudaSafeCall( cudaDeviceSynchronize() );
    105         }
    106     };
    107 }
    108 
    109 void cv::cuda::flip(InputArray _src, OutputArray _dst, int flipCode, Stream& stream)
    110 {
    111     typedef void (*func_t)(const GpuMat& src, GpuMat& dst, int flipCode, cudaStream_t stream);
    112     static const func_t funcs[6][4] =
    113     {
    114         {NppMirror<CV_8U, nppiMirror_8u_C1R>::call, 0, NppMirror<CV_8U, nppiMirror_8u_C3R>::call, NppMirror<CV_8U, nppiMirror_8u_C4R>::call},
    115         {0,0,0,0},
    116         {NppMirror<CV_16U, nppiMirror_16u_C1R>::call, 0, NppMirror<CV_16U, nppiMirror_16u_C3R>::call, NppMirror<CV_16U, nppiMirror_16u_C4R>::call},
    117         {0,0,0,0},
    118         {NppMirror<CV_32S, nppiMirror_32s_C1R>::call, 0, NppMirror<CV_32S, nppiMirror_32s_C3R>::call, NppMirror<CV_32S, nppiMirror_32s_C4R>::call},
    119         {NppMirror<CV_32F, nppiMirror_32f_C1R>::call, 0, NppMirror<CV_32F, nppiMirror_32f_C3R>::call, NppMirror<CV_32F, nppiMirror_32f_C4R>::call}
    120     };
    121 
    122     GpuMat src = getInputMat(_src, stream);
    123 
    124     CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S || src.depth() == CV_32F);
    125     CV_Assert(src.channels() == 1 || src.channels() == 3 || src.channels() == 4);
    126 
    127     _dst.create(src.size(), src.type());
    128     GpuMat dst = getOutputMat(_dst, src.size(), src.type(), stream);
    129 
    130     funcs[src.depth()][src.channels() - 1](src, dst, flipCode, StreamAccessor::getStream(stream));
    131 
    132     syncOutput(dst, _dst, stream);
    133 }
    134 
    135 #endif /* !defined (HAVE_CUDA) */
    136