opencv/modules/gpu/src/graphcuts.cpp

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#include "precomp.hpp"

#if !defined (HAVE_CUDA)

void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, Stream&) { throw_nogpu(); }

#else /* !defined (HAVE_CUDA) */

void cv::gpu::graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& bottom, GpuMat& labels, GpuMat& buf, Stream& s)
{
    Size src_size = terminals.size();
    CV_Assert(terminals.type() == CV_32S);
    CV_Assert(leftTransp.size() == Size(src_size.height, src_size.width));
    CV_Assert(leftTransp.type() == CV_32S);
    CV_Assert(rightTransp.size() == Size(src_size.height, src_size.width));
    CV_Assert(rightTransp.type() == CV_32S);
    CV_Assert(top.size() == src_size);
    CV_Assert(top.type() == CV_32S);
    CV_Assert(bottom.size() == src_size);
    CV_Assert(bottom.type() == CV_32S);

    labels.create(src_size, CV_8U);

    NppiSize sznpp;
    sznpp.width = src_size.width;
    sznpp.height = src_size.height;

    int bufsz;
    nppSafeCall( nppiGraphcutGetSize(sznpp, &bufsz) );

    if ((size_t)bufsz > buf.cols * buf.rows * buf.elemSize())
        buf.create(1, bufsz, CV_8U);

    cudaStream_t stream = StreamAccessor::getStream(s);

    NppStreamHandler h(stream);

    nppSafeCall( nppiGraphcut_32s8u(terminals.ptr<Npp32s>(), leftTransp.ptr<Npp32s>(), rightTransp.ptr<Npp32s>(), top.ptr<Npp32s>(), bottom.ptr<Npp32s>(),
        terminals.step, leftTransp.step, sznpp, labels.ptr<Npp8u>(), labels.step, buf.ptr<Npp8u>()) );

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


#endif /* !defined (HAVE_CUDA) */