500 lines
17 KiB
C++
500 lines
17 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other GpuMaterials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_GPU_MATRIX_OPERATIONS_HPP__
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#define __OPENCV_GPU_MATRIX_OPERATIONS_HPP__
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namespace cv
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{
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namespace gpu
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{
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////////////////////////////////////////////////////////////////////////
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//////////////////////////////// GpuMat ////////////////////////////////
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////////////////////////////////////////////////////////////////////////
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inline GpuMat::GpuMat() : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) {}
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inline GpuMat::GpuMat(int _rows, int _cols, int _type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
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{
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if( _rows > 0 && _cols > 0 )
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create( _rows, _cols, _type );
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}
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inline GpuMat::GpuMat(Size _size, int _type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
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{
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if( _size.height > 0 && _size.width > 0 )
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create( _size.height, _size.width, _type );
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}
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inline GpuMat::GpuMat(int _rows, int _cols, int _type, const Scalar& _s)
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: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
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{
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if(_rows > 0 && _cols > 0)
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{
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create(_rows, _cols, _type);
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*this = _s;
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}
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}
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inline GpuMat::GpuMat(Size _size, int _type, const Scalar& _s)
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: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0)
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{
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if( _size.height > 0 && _size.width > 0 )
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{
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create( _size.height, _size.width, _type );
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*this = _s;
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}
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}
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inline GpuMat::GpuMat(const GpuMat& m)
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: flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend)
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{
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if( refcount )
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CV_XADD(refcount, 1);
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}
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inline GpuMat::GpuMat(int _rows, int _cols, int _type, void* _data, size_t _step)
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: flags(Mat::MAGIC_VAL + (_type & TYPE_MASK)), rows(_rows), cols(_cols), step(_step), data((uchar*)_data), refcount(0),
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datastart((uchar*)_data), dataend((uchar*)_data)
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{
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size_t minstep = cols*elemSize();
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if( step == Mat::AUTO_STEP )
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{
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step = minstep;
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flags |= Mat::CONTINUOUS_FLAG;
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}
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else
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{
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if( rows == 1 ) step = minstep;
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CV_DbgAssert( step >= minstep );
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flags |= step == minstep ? Mat::CONTINUOUS_FLAG : 0;
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}
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dataend += step*(rows-1) + minstep;
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}
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inline GpuMat::GpuMat(Size _size, int _type, void* _data, size_t _step)
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: flags(Mat::MAGIC_VAL + (_type & TYPE_MASK)), rows(_size.height), cols(_size.width),
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step(_step), data((uchar*)_data), refcount(0),
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datastart((uchar*)_data), dataend((uchar*)_data)
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{
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size_t minstep = cols*elemSize();
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if( step == Mat::AUTO_STEP )
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{
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step = minstep;
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flags |= Mat::CONTINUOUS_FLAG;
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}
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else
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{
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if( rows == 1 ) step = minstep;
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CV_DbgAssert( step >= minstep );
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flags |= step == minstep ? Mat::CONTINUOUS_FLAG : 0;
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}
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dataend += step*(rows-1) + minstep;
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}
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inline GpuMat::GpuMat(const GpuMat& m, const Range& rowRange, const Range& colRange)
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{
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flags = m.flags;
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step = m.step; refcount = m.refcount;
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data = m.data; datastart = m.datastart; dataend = m.dataend;
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if( rowRange == Range::all() )
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rows = m.rows;
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else
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{
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CV_Assert( 0 <= rowRange.start && rowRange.start <= rowRange.end && rowRange.end <= m.rows );
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rows = rowRange.size();
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data += step*rowRange.start;
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}
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if( colRange == Range::all() )
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cols = m.cols;
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else
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{
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CV_Assert( 0 <= colRange.start && colRange.start <= colRange.end && colRange.end <= m.cols );
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cols = colRange.size();
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data += colRange.start*elemSize();
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flags &= cols < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
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}
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if( rows == 1 )
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flags |= Mat::CONTINUOUS_FLAG;
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if( refcount )
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CV_XADD(refcount, 1);
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if( rows <= 0 || cols <= 0 )
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rows = cols = 0;
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}
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inline GpuMat::GpuMat(const GpuMat& m, const Rect& roi)
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: flags(m.flags), rows(roi.height), cols(roi.width),
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step(m.step), data(m.data + roi.y*step), refcount(m.refcount),
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datastart(m.datastart), dataend(m.dataend)
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{
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flags &= roi.width < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
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data += roi.x*elemSize();
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CV_Assert( 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols &&
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0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows );
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if( refcount )
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CV_XADD(refcount, 1);
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if( rows <= 0 || cols <= 0 )
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rows = cols = 0;
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}
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inline GpuMat::GpuMat(const Mat& m)
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: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) { upload(m); }
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inline GpuMat::~GpuMat() { release(); }
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inline GpuMat& GpuMat::operator = (const GpuMat& m)
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{
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if( this != &m )
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{
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if( m.refcount )
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CV_XADD(m.refcount, 1);
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release();
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flags = m.flags;
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rows = m.rows; cols = m.cols;
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step = m.step; data = m.data;
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datastart = m.datastart; dataend = m.dataend;
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refcount = m.refcount;
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}
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return *this;
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}
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inline GpuMat& GpuMat::operator = (const Mat& m) { upload(m); return *this; }
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template <class T> inline GpuMat::operator DevMem2D_<T>() const { return DevMem2D_<T>(rows, cols, (T*)data, step); }
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template <class T> inline GpuMat::operator PtrStep_<T>() const { return PtrStep_<T>(static_cast< DevMem2D_<T> >(*this)); }
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//CPP: void GpuMat::upload(const Mat& m);
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inline GpuMat::operator Mat() const
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{
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Mat m;
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download(m);
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return m;
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}
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//CPP void GpuMat::download(cv::Mat& m) const;
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inline GpuMat GpuMat::row(int y) const { return GpuMat(*this, Range(y, y+1), Range::all()); }
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inline GpuMat GpuMat::col(int x) const { return GpuMat(*this, Range::all(), Range(x, x+1)); }
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inline GpuMat GpuMat::rowRange(int startrow, int endrow) const { return GpuMat(*this, Range(startrow, endrow), Range::all()); }
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inline GpuMat GpuMat::rowRange(const Range& r) const { return GpuMat(*this, r, Range::all()); }
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inline GpuMat GpuMat::colRange(int startcol, int endcol) const { return GpuMat(*this, Range::all(), Range(startcol, endcol)); }
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inline GpuMat GpuMat::colRange(const Range& r) const { return GpuMat(*this, Range::all(), r); }
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inline GpuMat GpuMat::clone() const
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{
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GpuMat m;
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copyTo(m);
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return m;
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}
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//CPP void GpuMat::copyTo( GpuMat& m ) const;
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//CPP void GpuMat::copyTo( GpuMat& m, const GpuMat& mask ) const;
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//CPP void GpuMat::convertTo( GpuMat& m, int rtype, double alpha=1, double beta=0 ) const;
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inline void GpuMat::assignTo( GpuMat& m, int type ) const
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{
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if( type < 0 )
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m = *this;
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else
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convertTo(m, type);
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}
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//CPP GpuMat& GpuMat::operator = (const Scalar& s);
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//CPP GpuMat& GpuMat::setTo(const Scalar& s, const GpuMat& mask=GpuMat());
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//CPP GpuMat GpuMat::reshape(int _cn, int _rows=0) const;
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inline void GpuMat::create(Size _size, int _type) { create(_size.height, _size.width, _type); }
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//CPP void GpuMat::create(int _rows, int _cols, int _type);
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//CPP void GpuMat::release();
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inline void GpuMat::swap(GpuMat& b)
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{
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std::swap( flags, b.flags );
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std::swap( rows, b.rows ); std::swap( cols, b.cols );
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std::swap( step, b.step ); std::swap( data, b.data );
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std::swap( datastart, b.datastart );
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std::swap( dataend, b.dataend );
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std::swap( refcount, b.refcount );
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}
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inline void GpuMat::locateROI( Size& wholeSize, Point& ofs ) const
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{
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size_t esz = elemSize(), minstep;
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ptrdiff_t delta1 = data - datastart, delta2 = dataend - datastart;
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CV_DbgAssert( step > 0 );
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if( delta1 == 0 )
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ofs.x = ofs.y = 0;
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else
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{
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ofs.y = (int)(delta1/step);
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ofs.x = (int)((delta1 - step*ofs.y)/esz);
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CV_DbgAssert( data == datastart + ofs.y*step + ofs.x*esz );
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}
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minstep = (ofs.x + cols)*esz;
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wholeSize.height = (int)((delta2 - minstep)/step + 1);
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wholeSize.height = std::max(wholeSize.height, ofs.y + rows);
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wholeSize.width = (int)((delta2 - step*(wholeSize.height-1))/esz);
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wholeSize.width = std::max(wholeSize.width, ofs.x + cols);
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}
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inline GpuMat& GpuMat::adjustROI( int dtop, int dbottom, int dleft, int dright )
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{
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Size wholeSize; Point ofs;
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size_t esz = elemSize();
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locateROI( wholeSize, ofs );
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int row1 = std::max(ofs.y - dtop, 0), row2 = std::min(ofs.y + rows + dbottom, wholeSize.height);
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int col1 = std::max(ofs.x - dleft, 0), col2 = std::min(ofs.x + cols + dright, wholeSize.width);
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data += (row1 - ofs.y)*step + (col1 - ofs.x)*esz;
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rows = row2 - row1; cols = col2 - col1;
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if( esz*cols == step || rows == 1 )
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flags |= Mat::CONTINUOUS_FLAG;
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else
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flags &= ~Mat::CONTINUOUS_FLAG;
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return *this;
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}
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inline GpuMat GpuMat::operator()( Range rowRange, Range colRange ) const { return GpuMat(*this, rowRange, colRange); }
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inline GpuMat GpuMat::operator()( const Rect& roi ) const { return GpuMat(*this, roi); }
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inline bool GpuMat::isContinuous() const { return (flags & Mat::CONTINUOUS_FLAG) != 0; }
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inline size_t GpuMat::elemSize() const { return CV_ELEM_SIZE(flags); }
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inline size_t GpuMat::elemSize1() const { return CV_ELEM_SIZE1(flags); }
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inline int GpuMat::type() const { return CV_MAT_TYPE(flags); }
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inline int GpuMat::depth() const { return CV_MAT_DEPTH(flags); }
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inline int GpuMat::channels() const { return CV_MAT_CN(flags); }
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inline size_t GpuMat::step1() const { return step/elemSize1(); }
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inline Size GpuMat::size() const { return Size(cols, rows); }
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inline bool GpuMat::empty() const { return data == 0; }
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inline uchar* GpuMat::ptr(int y)
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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return data + step*y;
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}
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inline const uchar* GpuMat::ptr(int y) const
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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return data + step*y;
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}
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template<typename _Tp> inline _Tp* GpuMat::ptr(int y)
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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return (_Tp*)(data + step*y);
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}
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template<typename _Tp> inline const _Tp* GpuMat::ptr(int y) const
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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return (const _Tp*)(data + step*y);
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}
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inline GpuMat GpuMat::t() const
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{
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GpuMat tmp;
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transpose(*this, tmp);
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return tmp;
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}
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static inline void swap( GpuMat& a, GpuMat& b ) { a.swap(b); }
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inline GpuMat createContinuous(int rows, int cols, int type)
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{
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GpuMat m;
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createContinuous(rows, cols, type, m);
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return m;
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}
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inline void createContinuous(Size size, int type, GpuMat& m)
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{
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createContinuous(size.height, size.width, type, m);
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}
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inline GpuMat createContinuous(Size size, int type)
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{
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GpuMat m;
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createContinuous(size, type, m);
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return m;
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}
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inline void ensureSizeIsEnough(Size size, int type, GpuMat& m)
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{
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ensureSizeIsEnough(size.height, size.width, type, m);
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}
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///////////////////////////////////////////////////////////////////////
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//////////////////////////////// CudaMem ////////////////////////////////
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///////////////////////////////////////////////////////////////////////
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inline CudaMem::CudaMem() : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(0) {}
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inline CudaMem::CudaMem(int _rows, int _cols, int _type, int _alloc_type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(0)
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{
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if( _rows > 0 && _cols > 0 )
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create( _rows, _cols, _type, _alloc_type);
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}
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inline CudaMem::CudaMem(Size _size, int _type, int _alloc_type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(0)
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{
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if( _size.height > 0 && _size.width > 0 )
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create( _size.height, _size.width, _type, _alloc_type);
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}
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inline CudaMem::CudaMem(const CudaMem& m) : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), alloc_type(m.alloc_type)
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{
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if( refcount )
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CV_XADD(refcount, 1);
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}
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inline CudaMem::CudaMem(const Mat& m, int _alloc_type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(0)
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{
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if( m.rows > 0 && m.cols > 0 )
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create( m.size(), m.type(), _alloc_type);
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Mat tmp = createMatHeader();
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m.copyTo(tmp);
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}
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inline CudaMem::~CudaMem()
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{
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release();
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}
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inline CudaMem& CudaMem::operator = (const CudaMem& m)
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{
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if( this != &m )
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{
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if( m.refcount )
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CV_XADD(m.refcount, 1);
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release();
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flags = m.flags;
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rows = m.rows; cols = m.cols;
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step = m.step; data = m.data;
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datastart = m.datastart;
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dataend = m.dataend;
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refcount = m.refcount;
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alloc_type = m.alloc_type;
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}
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return *this;
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}
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inline CudaMem CudaMem::clone() const
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{
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CudaMem m(size(), type(), alloc_type);
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Mat to = m;
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Mat from = *this;
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from.copyTo(to);
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return m;
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}
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inline void CudaMem::create(Size _size, int _type, int _alloc_type) { create(_size.height, _size.width, _type, _alloc_type); }
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//CCP void CudaMem::create(int _rows, int _cols, int _type, int _alloc_type);
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//CPP void CudaMem::release();
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inline Mat CudaMem::createMatHeader() const { return Mat(size(), type(), data); }
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inline CudaMem::operator Mat() const { return createMatHeader(); }
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inline CudaMem::operator GpuMat() const { return createGpuMatHeader(); }
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//CPP GpuMat CudaMem::createGpuMatHeader() const;
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inline bool CudaMem::isContinuous() const { return (flags & Mat::CONTINUOUS_FLAG) != 0; }
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inline size_t CudaMem::elemSize() const { return CV_ELEM_SIZE(flags); }
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inline size_t CudaMem::elemSize1() const { return CV_ELEM_SIZE1(flags); }
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inline int CudaMem::type() const { return CV_MAT_TYPE(flags); }
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inline int CudaMem::depth() const { return CV_MAT_DEPTH(flags); }
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inline int CudaMem::channels() const { return CV_MAT_CN(flags); }
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inline size_t CudaMem::step1() const { return step/elemSize1(); }
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inline Size CudaMem::size() const { return Size(cols, rows); }
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inline bool CudaMem::empty() const { return data == 0; }
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//////////////////////////////////////////////////////////////////////////////
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// Arithmetical operations
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inline GpuMat operator ~ (const GpuMat& src)
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{
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GpuMat dst;
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bitwise_not(src, dst);
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return dst;
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}
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inline GpuMat operator | (const GpuMat& src1, const GpuMat& src2)
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{
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GpuMat dst;
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bitwise_or(src1, src2, dst);
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return dst;
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}
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inline GpuMat operator & (const GpuMat& src1, const GpuMat& src2)
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{
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GpuMat dst;
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bitwise_and(src1, src2, dst);
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return dst;
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}
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inline GpuMat operator ^ (const GpuMat& src1, const GpuMat& src2)
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{
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GpuMat dst;
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bitwise_xor(src1, src2, dst);
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return dst;
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}
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} /* end of namespace gpu */
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} /* end of namespace cv */
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#endif /* __OPENCV_GPU_MATRIX_OPERATIONS_HPP__ */
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