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#include "precomp.hpp"

#if !defined HAVE_CUDA || defined(CUDA_DISABLER)

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

#else // HAVE_CUDA

namespace cv { namespace cuda { namespace device
{
    namespace imgproc
    {
        template <typename T>
        void remap_gpu(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzf xmap, PtrStepSzf ymap, PtrStepSzb dst,
                       int interpolation, int borderMode, const float* borderValue, cudaStream_t stream, bool cc20, bool isRelative);
    }
}}}

void cv::cuda::remap(InputArray _src, OutputArray _dst, InputArray _xmap, InputArray _ymap, int interpolation, int borderMode, Scalar borderValue, Stream& stream)
{
    using namespace cv::cuda::device::imgproc;

    const bool hasRelativeFlag = ((interpolation & WARP_RELATIVE_MAP) != 0);
    interpolation &= ~WARP_RELATIVE_MAP;

    typedef void (*func_t)(PtrStepSzb src, PtrStepSzb srcWhole, int xoff, int yoff, PtrStepSzf xmap, PtrStepSzf ymap, PtrStepSzb dst, int interpolation,
        int borderMode, const float* borderValue, cudaStream_t stream, bool cc20, bool isRelative);
    static const func_t funcs[6][4] =
    {
        {remap_gpu<uchar>      , 0 /*remap_gpu<uchar2>*/ , remap_gpu<uchar3>     , remap_gpu<uchar4>     },
        {0 /*remap_gpu<schar>*/, 0 /*remap_gpu<char2>*/  , 0 /*remap_gpu<char3>*/, 0 /*remap_gpu<char4>*/},
        {remap_gpu<ushort>     , 0 /*remap_gpu<ushort2>*/, remap_gpu<ushort3>    , remap_gpu<ushort4>    },
        {remap_gpu<short>      , 0 /*remap_gpu<short2>*/ , remap_gpu<short3>     , remap_gpu<short4>     },
        {0 /*remap_gpu<int>*/  , 0 /*remap_gpu<int2>*/   , 0 /*remap_gpu<int3>*/ , 0 /*remap_gpu<int4>*/ },
        {remap_gpu<float>      , 0 /*remap_gpu<float2>*/ , remap_gpu<float3>     , remap_gpu<float4>     }
    };

    GpuMat src = _src.getGpuMat();
    GpuMat xmap = _xmap.getGpuMat();
    GpuMat ymap = _ymap.getGpuMat();

    CV_Assert( src.depth() <= CV_32F && src.channels() <= 4 );
    CV_Assert( xmap.type() == CV_32F && ymap.type() == CV_32F && xmap.size() == ymap.size() );
    CV_Assert( interpolation == INTER_NEAREST || interpolation == INTER_LINEAR || interpolation == INTER_CUBIC );
    CV_Assert( borderMode == BORDER_REFLECT101 || borderMode == BORDER_REPLICATE || borderMode == BORDER_CONSTANT || borderMode == BORDER_REFLECT || borderMode == BORDER_WRAP );

    const func_t func = funcs[src.depth()][src.channels() - 1];
    if (!func)
        CV_Error(Error::StsUnsupportedFormat, "Unsupported input type");

    _dst.create(xmap.size(), src.type());
    GpuMat dst = _dst.getGpuMat();

    Scalar_<float> borderValueFloat;
    borderValueFloat = borderValue;

    Size wholeSize;
    Point ofs;
    src.locateROI(wholeSize, ofs);

    func(src, PtrStepSzb(wholeSize.height, wholeSize.width, src.datastart, src.step), ofs.x, ofs.y, xmap, ymap,
        dst, interpolation, borderMode, borderValueFloat.val, StreamAccessor::getStream(stream), deviceSupports(FEATURE_SET_COMPUTE_20), hasRelativeFlag);
}

#endif // HAVE_CUDA
