root/modules/cudaarithm/src/reductions.cpp

DEFINITIONS

1. norm
2. calcNorm
3. norm
4. calcNormDiff
5. sum
6. calcSum
7. absSum
8. calcAbsSum
9. sqrSum
10. calcSqrSum
11. minMax
12. findMinMax
13. minMaxLoc
14. findMinMaxLoc
15. countNonZero
16. countNonZero
17. reduce
18. meanStdDev
19. meanStdDev
20. rectStdDev
21. normalize
22. integral
23. sqrIntegral
24. calcNorm
25. norm
26. meanStdDev
27. meanStdDev
28. rectStdDev

/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "precomp.hpp"

using namespace cv;
using namespace cv::cuda;

#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)

double cv::cuda::norm(InputArray, int, InputArray) { throw_no_cuda(); return 0.0; }
void cv::cuda::calcNorm(InputArray, OutputArray, int, InputArray, Stream&) { throw_no_cuda(); }
double cv::cuda::norm(InputArray, InputArray, int) { throw_no_cuda(); return 0.0; }
void cv::cuda::calcNormDiff(InputArray, InputArray, OutputArray, int, Stream&) { throw_no_cuda(); }

Scalar cv::cuda::sum(InputArray, InputArray) { throw_no_cuda(); return Scalar(); }
void cv::cuda::calcSum(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
Scalar cv::cuda::absSum(InputArray, InputArray) { throw_no_cuda(); return Scalar(); }
void cv::cuda::calcAbsSum(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
Scalar cv::cuda::sqrSum(InputArray, InputArray) { throw_no_cuda(); return Scalar(); }
void cv::cuda::calcSqrSum(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }

void cv::cuda::minMax(InputArray, double*, double*, InputArray) { throw_no_cuda(); }
void cv::cuda::findMinMax(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
void cv::cuda::minMaxLoc(InputArray, double*, double*, Point*, Point*, InputArray) { throw_no_cuda(); }
void cv::cuda::findMinMaxLoc(InputArray, OutputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }

int cv::cuda::countNonZero(InputArray) { throw_no_cuda(); return 0; }
void cv::cuda::countNonZero(InputArray, OutputArray, Stream&) { throw_no_cuda(); }

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

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

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

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

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

#else

////////////////////////////////////////////////////////////////////////
// norm

namespace cv { namespace cuda { namespace device {

void normL2(cv::InputArray _src, cv::OutputArray _dst, cv::InputArray _mask, Stream& stream);

void findMaxAbs(cv::InputArray _src, cv::OutputArray _dst, cv::InputArray _mask, Stream& stream);

}}}

void cv::cuda::calcNorm(InputArray _src, OutputArray dst, int normType, InputArray mask, Stream& stream)
{
    CV_Assert( normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 );

    GpuMat src = getInputMat(_src, stream);

    GpuMat src_single_channel = src.reshape(1);

    if (normType == NORM_L1)
    {
        calcAbsSum(src_single_channel, dst, mask, stream);
    }
    else if (normType == NORM_L2)
    {
        cv::cuda::device::normL2(src_single_channel, dst, mask, stream);
    }
    else // NORM_INF
    {
        cv::cuda::device::findMaxAbs(src_single_channel, dst, mask, stream);
    }
}

double cv::cuda::norm(InputArray _src, int normType, InputArray _mask)
{
    Stream& stream = Stream::Null();

    HostMem dst;
    calcNorm(_src, dst, normType, _mask, stream);

    stream.waitForCompletion();

    double val;
    dst.createMatHeader().convertTo(Mat(1, 1, CV_64FC1, &val), CV_64F);

    return val;
}

////////////////////////////////////////////////////////////////////////
// meanStdDev

void cv::cuda::meanStdDev(InputArray _src, OutputArray _dst, Stream& stream)
{
    if (!deviceSupports(FEATURE_SET_COMPUTE_13))
        CV_Error(cv::Error::StsNotImplemented, "Not sufficient compute capebility");

    const GpuMat src = getInputMat(_src, stream);

    CV_Assert( src.type() == CV_8UC1 );

    GpuMat dst = getOutputMat(_dst, 1, 2, CV_64FC1, stream);

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

    int bufSize;
#if (CUDA_VERSION <= 4020)
    nppSafeCall( nppiMeanStdDev8uC1RGetBufferHostSize(sz, &bufSize) );
#else
    nppSafeCall( nppiMeanStdDevGetBufferHostSize_8u_C1R(sz, &bufSize) );
#endif

    BufferPool pool(stream);
    GpuMat buf = pool.getBuffer(1, bufSize, CV_8UC1);

    NppStreamHandler h(StreamAccessor::getStream(stream));

    nppSafeCall( nppiMean_StdDev_8u_C1R(src.ptr<Npp8u>(), static_cast<int>(src.step), sz, buf.ptr<Npp8u>(), dst.ptr<Npp64f>(), dst.ptr<Npp64f>() + 1) );

    syncOutput(dst, _dst, stream);
}

void cv::cuda::meanStdDev(InputArray _src, Scalar& mean, Scalar& stddev)
{
    Stream& stream = Stream::Null();

    HostMem dst;
    meanStdDev(_src, dst, stream);

    stream.waitForCompletion();

    double vals[2];
    dst.createMatHeader().copyTo(Mat(1, 2, CV_64FC1, &vals[0]));

    mean = Scalar(vals[0]);
    stddev = Scalar(vals[1]);
}

//////////////////////////////////////////////////////////////////////////////
// rectStdDev

void cv::cuda::rectStdDev(InputArray _src, InputArray _sqr, OutputArray _dst, Rect rect, Stream& _stream)
{
    GpuMat src = getInputMat(_src, _stream);
    GpuMat sqr = getInputMat(_sqr, _stream);

    CV_Assert( src.type() == CV_32SC1 && sqr.type() == CV_64FC1 );

    GpuMat dst = getOutputMat(_dst, src.size(), CV_32FC1, _stream);

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

    NppiRect nppRect;
    nppRect.height = rect.height;
    nppRect.width = rect.width;
    nppRect.x = rect.x;
    nppRect.y = rect.y;

    cudaStream_t stream = StreamAccessor::getStream(_stream);

    NppStreamHandler h(stream);

    nppSafeCall( nppiRectStdDev_32s32f_C1R(src.ptr<Npp32s>(), static_cast<int>(src.step), sqr.ptr<Npp64f>(), static_cast<int>(sqr.step),
                dst.ptr<Npp32f>(), static_cast<int>(dst.step), sz, nppRect) );

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

    syncOutput(dst, _dst, _stream);
}

#endif