opencv/modules/cudaarithm/src/cuda/minmax.cu
Vladislav Vinogradov 3fb9c52272 cast to reference
2013-10-01 12:18:38 +04:00

112 lines
3.9 KiB
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#include "opencv2/opencv_modules.hpp"
#ifndef HAVE_OPENCV_CUDEV
#error "opencv_cudev is required"
#else
#include "opencv2/cudaarithm.hpp"
#include "opencv2/cudev.hpp"
using namespace cv::cudev;
namespace
{
template <typename T>
void minMaxImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf, double* minVal, double* maxVal)
{
typedef typename SelectIf<
TypesEquals<T, double>::value,
double,
typename SelectIf<TypesEquals<T, float>::value, float, int>::type
>::type work_type;
const GpuMat_<T>& src = (const GpuMat_<T>&) _src;
GpuMat_<work_type>& buf = (GpuMat_<work_type>&) _buf;
if (mask.empty())
gridFindMinMaxVal(src, buf);
else
gridFindMinMaxVal(src, buf, globPtr<uchar>(mask));
work_type data[2];
buf.download(cv::Mat(1, 2, buf.type(), data));
if (minVal)
*minVal = data[0];
if (maxVal)
*maxVal = data[1];
}
}
void cv::cuda::minMax(InputArray _src, double* minVal, double* maxVal, InputArray _mask, GpuMat& buf)
{
typedef void (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf, double* minVal, double* maxVal);
static const func_t funcs[] =
{
minMaxImpl<uchar>,
minMaxImpl<schar>,
minMaxImpl<ushort>,
minMaxImpl<short>,
minMaxImpl<int>,
minMaxImpl<float>,
minMaxImpl<double>
};
GpuMat src = _src.getGpuMat();
GpuMat mask = _mask.getGpuMat();
CV_Assert( src.channels() == 1 );
CV_DbgAssert( mask.empty() || (mask.size() == src.size() && mask.type() == CV_8U) );
const func_t func = funcs[src.depth()];
func(src, mask, buf, minVal, maxVal);
}
#endif