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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#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, typename R, int cn>
cv::Scalar sumImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf)
{
typedef typename MakeVec<T, cn>::type src_type;
typedef typename MakeVec<R, cn>::type res_type;
const GpuMat_<src_type>& src = (const GpuMat_<src_type>&) _src;
GpuMat_<res_type>& buf = (GpuMat_<res_type>&) _buf;
if (mask.empty())
gridCalcSum(src, buf);
else
gridCalcSum(src, buf, globPtr<uchar>(mask));
cv::Scalar_<R> res;
cv::Mat res_mat(buf.size(), buf.type(), res.val);
buf.download(res_mat);
return res;
}
template <typename T, typename R, int cn>
cv::Scalar sumAbsImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf)
{
typedef typename MakeVec<T, cn>::type src_type;
typedef typename MakeVec<R, cn>::type res_type;
const GpuMat_<src_type>& src = (const GpuMat_<src_type>&) _src;
GpuMat_<res_type>& buf = (GpuMat_<res_type>&) _buf;
if (mask.empty())
gridCalcSum(abs_(cvt_<res_type>(src)), buf);
else
gridCalcSum(abs_(cvt_<res_type>(src)), buf, globPtr<uchar>(mask));
cv::Scalar_<R> res;
cv::Mat res_mat(buf.size(), buf.type(), res.val);
buf.download(res_mat);
return res;
}
template <typename T, typename R, int cn>
cv::Scalar sumSqrImpl(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf)
{
typedef typename MakeVec<T, cn>::type src_type;
typedef typename MakeVec<R, cn>::type res_type;
const GpuMat_<src_type>& src = (const GpuMat_<src_type>&) _src;
GpuMat_<res_type>& buf = (GpuMat_<res_type>&) _buf;
if (mask.empty())
gridCalcSum(sqr_(cvt_<res_type>(src)), buf);
else
gridCalcSum(sqr_(cvt_<res_type>(src)), buf, globPtr<uchar>(mask));
cv::Scalar_<R> res;
cv::Mat res_mat(buf.size(), buf.type(), res.val);
buf.download(res_mat);
return res;
}
}
cv::Scalar cv::cuda::sum(InputArray _src, InputArray _mask, GpuMat& buf)
{
typedef cv::Scalar (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf);
static const func_t funcs[7][4] =
{
{sumImpl<uchar , uint , 1>, sumImpl<uchar , uint , 2>, sumImpl<uchar , uint , 3>, sumImpl<uchar , uint , 4>},
{sumImpl<schar , int , 1>, sumImpl<schar , int , 2>, sumImpl<schar , int , 3>, sumImpl<schar , int , 4>},
{sumImpl<ushort, uint , 1>, sumImpl<ushort, uint , 2>, sumImpl<ushort, uint , 3>, sumImpl<ushort, uint , 4>},
{sumImpl<short , int , 1>, sumImpl<short , int , 2>, sumImpl<short , int , 3>, sumImpl<short , int , 4>},
{sumImpl<int , int , 1>, sumImpl<int , int , 2>, sumImpl<int , int , 3>, sumImpl<int , int , 4>},
{sumImpl<float , float , 1>, sumImpl<float , float , 2>, sumImpl<float , float , 3>, sumImpl<float , float , 4>},
{sumImpl<double, double, 1>, sumImpl<double, double, 2>, sumImpl<double, double, 3>, sumImpl<double, double, 4>}
};
GpuMat src = _src.getGpuMat();
GpuMat mask = _mask.getGpuMat();
CV_DbgAssert( mask.empty() || (mask.type() == CV_8UC1 && mask.size() == src.size()) );
const func_t func = funcs[src.depth()][src.channels() - 1];
return func(src, mask, buf);
}
cv::Scalar cv::cuda::absSum(InputArray _src, InputArray _mask, GpuMat& buf)
{
typedef cv::Scalar (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf);
static const func_t funcs[7][4] =
{
{sumAbsImpl<uchar , uint , 1>, sumAbsImpl<uchar , uint , 2>, sumAbsImpl<uchar , uint , 3>, sumAbsImpl<uchar , uint , 4>},
{sumAbsImpl<schar , int , 1>, sumAbsImpl<schar , int , 2>, sumAbsImpl<schar , int , 3>, sumAbsImpl<schar , int , 4>},
{sumAbsImpl<ushort, uint , 1>, sumAbsImpl<ushort, uint , 2>, sumAbsImpl<ushort, uint , 3>, sumAbsImpl<ushort, uint , 4>},
{sumAbsImpl<short , int , 1>, sumAbsImpl<short , int , 2>, sumAbsImpl<short , int , 3>, sumAbsImpl<short , int , 4>},
{sumAbsImpl<int , int , 1>, sumAbsImpl<int , int , 2>, sumAbsImpl<int , int , 3>, sumAbsImpl<int , int , 4>},
{sumAbsImpl<float , float , 1>, sumAbsImpl<float , float , 2>, sumAbsImpl<float , float , 3>, sumAbsImpl<float , float , 4>},
{sumAbsImpl<double, double, 1>, sumAbsImpl<double, double, 2>, sumAbsImpl<double, double, 3>, sumAbsImpl<double, double, 4>}
};
GpuMat src = _src.getGpuMat();
GpuMat mask = _mask.getGpuMat();
CV_DbgAssert( mask.empty() || (mask.type() == CV_8UC1 && mask.size() == src.size()) );
const func_t func = funcs[src.depth()][src.channels() - 1];
return func(src, mask, buf);
}
cv::Scalar cv::cuda::sqrSum(InputArray _src, InputArray _mask, GpuMat& buf)
{
typedef cv::Scalar (*func_t)(const GpuMat& _src, const GpuMat& mask, GpuMat& _buf);
static const func_t funcs[7][4] =
{
{sumSqrImpl<uchar , double, 1>, sumSqrImpl<uchar , double, 2>, sumSqrImpl<uchar , double, 3>, sumSqrImpl<uchar , double, 4>},
{sumSqrImpl<schar , double, 1>, sumSqrImpl<schar , double, 2>, sumSqrImpl<schar , double, 3>, sumSqrImpl<schar , double, 4>},
{sumSqrImpl<ushort, double, 1>, sumSqrImpl<ushort, double, 2>, sumSqrImpl<ushort, double, 3>, sumSqrImpl<ushort, double, 4>},
{sumSqrImpl<short , double, 1>, sumSqrImpl<short , double, 2>, sumSqrImpl<short , double, 3>, sumSqrImpl<short , double, 4>},
{sumSqrImpl<int , double, 1>, sumSqrImpl<int , double, 2>, sumSqrImpl<int , double, 3>, sumSqrImpl<int , double, 4>},
{sumSqrImpl<float , double, 1>, sumSqrImpl<float , double, 2>, sumSqrImpl<float , double, 3>, sumSqrImpl<float , double, 4>},
{sumSqrImpl<double, double, 1>, sumSqrImpl<double, double, 2>, sumSqrImpl<double, double, 3>, sumSqrImpl<double, double, 4>}
};
GpuMat src = _src.getGpuMat();
GpuMat mask = _mask.getGpuMat();
CV_DbgAssert( mask.empty() || (mask.type() == CV_8UC1 && mask.size() == src.size()) );
const func_t func = funcs[src.depth()][src.channels() - 1];
return func(src, mask, buf);
}
#endif