97156897b2
change the download channels to oclchannles() fix bugs of arithm functions perf fix of bilateral bug fix of split test case add build_warps functions
488 lines
17 KiB
C++
488 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) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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 oclMaterials 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 ocl
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{
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////////////////////////////////////OpenCL kernel strings//////////////////////////
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//extern const char *convertC3C4;
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////////////////////////////////////////////////////////////////////////
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//////////////////////////////// oclMat ////////////////////////////////
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////////////////////////////////////////////////////////////////////////
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inline oclMat::oclMat() : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0) {}
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inline oclMat::oclMat(int _rows, int _cols, int _type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), offset(0), wholerows(0), wholecols(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 oclMat::oclMat(Size _size, int _type) : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), offset(0), wholerows(0), wholecols(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 oclMat::oclMat(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), offset(0), wholerows(0), wholecols(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 oclMat::oclMat(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), offset(0), wholerows(0), wholecols(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 oclMat::oclMat(const oclMat &m)
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: flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data),
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refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), clCxt(m.clCxt), offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols)
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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 oclMat::oclMat(int _rows, int _cols, int _type, void *_data, size_t _step)
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: flags(0), rows(0), cols(0), step(0), data(0), refcount(0),
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datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0)
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{
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cv::Mat m(_rows, _cols, _type, _data, _step);
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upload(m);
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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 oclMat::oclMat(Size _size, int _type, void *_data, size_t _step)
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: flags(0), rows(0), cols(0),
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step(0), data(0), refcount(0),
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datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0)
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{
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cv::Mat m(_size, _type, _data, _step);
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upload(m);
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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 oclMat::oclMat(const oclMat &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;
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refcount = m.refcount;
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data = m.data;
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datastart = m.datastart;
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dataend = m.dataend;
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wholerows = m.wholerows;
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wholecols = m.wholecols;
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offset = m.offset;
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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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offset += 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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offset += 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 oclMat::oclMat(const oclMat &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), refcount(m.refcount),
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datastart(m.datastart), dataend(m.dataend), clCxt(m.clCxt), offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols)
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{
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flags &= roi.width < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
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offset += roi.y * step + 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 oclMat::oclMat(const Mat &m)
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: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) , offset(0), wholerows(0), wholecols(0)
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{
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//clCxt = Context::getContext();
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upload(m);
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}
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inline oclMat::~oclMat()
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{
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release();
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}
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inline oclMat &oclMat::operator = (const oclMat &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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clCxt = m.clCxt;
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flags = m.flags;
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rows = m.rows;
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cols = m.cols;
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step = m.step;
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data = m.data;
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datastart = m.datastart;
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dataend = m.dataend;
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offset = m.offset;
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wholerows = m.wholerows;
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wholecols = m.wholecols;
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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 oclMat &oclMat::operator = (const Mat &m)
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{
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//clCxt = Context::getContext();
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upload(m);
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return *this;
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}
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/* Fixme! To be supported in OpenCL later. */
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#if 0
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template <class T> inline oclMat::operator DevMem2D_<T>() const
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{
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return DevMem2D_<T>(rows, cols, (T *)data, step);
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}
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template <class T> inline oclMat::operator PtrStep_<T>() const
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{
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return PtrStep_<T>(static_cast< DevMem2D_<T> >(*this));
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}
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#endif
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//CPP: void oclMat::upload(const Mat& m);
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inline oclMat::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 oclMat::download(cv::Mat& m) const;
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inline oclMat oclMat::row(int y) const
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{
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return oclMat(*this, Range(y, y + 1), Range::all());
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}
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inline oclMat oclMat::col(int x) const
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{
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return oclMat(*this, Range::all(), Range(x, x + 1));
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}
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inline oclMat oclMat::rowRange(int startrow, int endrow) const
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{
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return oclMat(*this, Range(startrow, endrow), Range::all());
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}
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inline oclMat oclMat::rowRange(const Range &r) const
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{
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return oclMat(*this, r, Range::all());
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}
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inline oclMat oclMat::colRange(int startcol, int endcol) const
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{
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return oclMat(*this, Range::all(), Range(startcol, endcol));
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}
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inline oclMat oclMat::colRange(const Range &r) const
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{
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return oclMat(*this, Range::all(), r);
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}
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inline oclMat oclMat::clone() const
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{
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oclMat m;
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copyTo(m);
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return m;
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}
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//CPP void oclMat::copyTo( oclMat& m ) const;
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//CPP void oclMat::copyTo( oclMat& m, const oclMat& mask ) const;
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//CPP void oclMat::convertTo( oclMat& m, int rtype, double alpha=1, double beta=0 ) const;
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inline void oclMat::assignTo( oclMat &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 oclMat& oclMat::operator = (const Scalar& s);
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//CPP oclMat& oclMat::setTo(const Scalar& s, const oclMat& mask=oclMat());
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//CPP oclMat oclMat::reshape(int _cn, int _rows=0) const;
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inline void oclMat::create(Size _size, int _type)
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{
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create(_size.height, _size.width, _type);
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}
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//CPP void oclMat::create(int _rows, int _cols, int _type);
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//CPP void oclMat::release();
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inline void oclMat::swap(oclMat &b)
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{
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std::swap( flags, b.flags );
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std::swap( rows, b.rows );
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std::swap( cols, b.cols );
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std::swap( step, b.step );
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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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std::swap( offset, b.offset );
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std::swap( clCxt, b.clCxt );
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std::swap( wholerows, b.wholerows );
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std::swap( wholecols, b.wholecols );
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}
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inline void oclMat::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 = offset;//, delta2 = dataend - datastart;
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CV_DbgAssert( step > 0 );
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if( offset == 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)(offset / step);
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ofs.x = (int)((offset - 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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wholeSize.height = wholerows;
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wholeSize.width = wholecols;
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}
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inline oclMat &oclMat::adjustROI( int dtop, int dbottom, int dleft, int dright )
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{
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Size wholeSize;
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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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offset += (row1 - ofs.y) * step + (col1 - ofs.x) * esz;
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rows = row2 - row1;
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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 oclMat oclMat::operator()( Range rowRange, Range colRange ) const
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{
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return oclMat(*this, rowRange, colRange);
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}
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inline oclMat oclMat::operator()( const Rect &roi ) const
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{
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return oclMat(*this, roi);
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}
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inline bool oclMat::isContinuous() const
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{
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return (flags & Mat::CONTINUOUS_FLAG) != 0;
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}
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inline size_t oclMat::elemSize() const
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{
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return CV_ELEM_SIZE((CV_MAKE_TYPE(type(), oclchannels())));
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}
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inline size_t oclMat::elemSize1() const
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{
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return CV_ELEM_SIZE1(flags);
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}
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inline int oclMat::type() const
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{
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return CV_MAT_TYPE(flags);
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}
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inline int oclMat::ocltype() const
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{
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return CV_MAKE_TYPE(depth(), oclchannels());
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}
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inline int oclMat::depth() const
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{
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return CV_MAT_DEPTH(flags);
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}
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inline int oclMat::channels() const
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{
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return CV_MAT_CN(flags);
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}
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inline int oclMat::oclchannels() const
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{
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return (CV_MAT_CN(flags)) == 3 ? 4 : (CV_MAT_CN(flags));
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}
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inline size_t oclMat::step1() const
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{
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return step / elemSize1();
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}
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inline Size oclMat::size() const
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{
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return Size(cols, rows);
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}
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inline bool oclMat::empty() const
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{
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return data == 0;
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}
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inline uchar *oclMat::ptr(int y)
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
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return data + step * y;
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}
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inline const uchar *oclMat::ptr(int y) const
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
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return data + step * y;
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}
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template<typename _Tp> inline _Tp *oclMat::ptr(int y)
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
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return (_Tp *)(data + step * y);
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}
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template<typename _Tp> inline const _Tp *oclMat::ptr(int y) const
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{
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CV_DbgAssert( (unsigned)y < (unsigned)rows );
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CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
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return (const _Tp *)(data + step * y);
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}
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inline oclMat oclMat::t() const
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{
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oclMat 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( oclMat &a, oclMat &b )
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{
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a.swap(b);
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}
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inline void ensureSizeIsEnough(int rows, int cols, int type, oclMat &m)
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{
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if (m.type() == type && m.rows >= rows && m.cols >= cols)
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m = m(Rect(0, 0, cols, rows));
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else
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m.create(rows, cols, type);
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}
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inline void ensureSizeIsEnough(Size size, int type, oclMat &m)
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{
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ensureSizeIsEnough(size.height, size.width, type, m);
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}
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} /* end of namespace ocl */
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} /* end of namespace cv */
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#endif /* __OPENCV_GPU_MATRIX_OPERATIONS_HPP__ */
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