Open Source Computer Vision Library https://opencv.org/
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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) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, 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 oclMaterials 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*/
#ifndef __OPENCV_GPU_MATRIX_OPERATIONS_HPP__
#define __OPENCV_GPU_MATRIX_OPERATIONS_HPP__
namespace cv
{
namespace ocl
{
////////////////////////////////////OpenCL kernel strings//////////////////////////
//extern const char *convertC3C4;
////////////////////////////////////////////////////////////////////////
//////////////////////////////// oclMat ////////////////////////////////
////////////////////////////////////////////////////////////////////////
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) {}
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)
{
if( _rows > 0 && _cols > 0 )
create( _rows, _cols, _type );
}
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)
{
if( _size.height > 0 && _size.width > 0 )
create( _size.height, _size.width, _type );
}
inline oclMat::oclMat(int _rows, int _cols, int _type, const Scalar &_s)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0)
{
if(_rows > 0 && _cols > 0)
{
create(_rows, _cols, _type);
*this = _s;
}
}
inline oclMat::oclMat(Size _size, int _type, const Scalar &_s)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0)
{
if( _size.height > 0 && _size.width > 0 )
{
create( _size.height, _size.width, _type );
*this = _s;
}
}
inline oclMat::oclMat(const oclMat &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), clCxt(m.clCxt), offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols)
{
if( refcount )
CV_XADD(refcount, 1);
}
inline oclMat::oclMat(int _rows, int _cols, int _type, void *_data, size_t _step)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0),
datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0)
{
cv::Mat m(_rows, _cols, _type, _data, _step);
upload(m);
//size_t minstep = cols * elemSize();
//if( step == Mat::AUTO_STEP )
//{
// step = minstep;
// flags |= Mat::CONTINUOUS_FLAG;
//}
//else
//{
// if( rows == 1 ) step = minstep;
// CV_DbgAssert( step >= minstep );
// flags |= step == minstep ? Mat::CONTINUOUS_FLAG : 0;
//}
//dataend += step * (rows - 1) + minstep;
}
inline oclMat::oclMat(Size _size, int _type, void *_data, size_t _step)
: flags(0), rows(0), cols(0),
step(0), data(0), refcount(0),
datastart(0), dataend(0), offset(0), wholerows(0), wholecols(0)
{
cv::Mat m(_size, _type, _data, _step);
upload(m);
//size_t minstep = cols * elemSize();
//if( step == Mat::AUTO_STEP )
//{
// step = minstep;
// flags |= Mat::CONTINUOUS_FLAG;
//}
//else
//{
// if( rows == 1 ) step = minstep;
// CV_DbgAssert( step >= minstep );
// flags |= step == minstep ? Mat::CONTINUOUS_FLAG : 0;
//}
//dataend += step * (rows - 1) + minstep;
}
inline oclMat::oclMat(const oclMat &m, const Range &rowRange, const Range &colRange)
{
flags = m.flags;
step = m.step;
refcount = m.refcount;
data = m.data;
datastart = m.datastart;
dataend = m.dataend;
wholerows = m.wholerows;
wholecols = m.wholecols;
offset = m.offset;
if( rowRange == Range::all() )
rows = m.rows;
else
{
CV_Assert( 0 <= rowRange.start && rowRange.start <= rowRange.end && rowRange.end <= m.rows );
rows = rowRange.size();
offset += step * rowRange.start;
}
if( colRange == Range::all() )
cols = m.cols;
else
{
CV_Assert( 0 <= colRange.start && colRange.start <= colRange.end && colRange.end <= m.cols );
cols = colRange.size();
offset += colRange.start * elemSize();
flags &= cols < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
}
if( rows == 1 )
flags |= Mat::CONTINUOUS_FLAG;
if( refcount )
CV_XADD(refcount, 1);
if( rows <= 0 || cols <= 0 )
rows = cols = 0;
}
inline oclMat::oclMat(const oclMat &m, const Rect &roi)
: flags(m.flags), rows(roi.height), cols(roi.width),
step(m.step), data(m.data), refcount(m.refcount),
datastart(m.datastart), dataend(m.dataend), clCxt(m.clCxt), offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols)
{
flags &= roi.width < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
offset += roi.y * step + roi.x * elemSize();
CV_Assert( 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols &&
0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows );
if( refcount )
CV_XADD(refcount, 1);
if( rows <= 0 || cols <= 0 )
rows = cols = 0;
}
inline oclMat::oclMat(const Mat &m)
: flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) , offset(0), wholerows(0), wholecols(0)
{
//clCxt = Context::getContext();
upload(m);
}
inline oclMat::~oclMat()
{
release();
}
inline oclMat &oclMat::operator = (const oclMat &m)
{
if( this != &m )
{
if( m.refcount )
CV_XADD(m.refcount, 1);
release();
clCxt = m.clCxt;
flags = m.flags;
rows = m.rows;
cols = m.cols;
step = m.step;
data = m.data;
datastart = m.datastart;
dataend = m.dataend;
offset = m.offset;
wholerows = m.wholerows;
wholecols = m.wholecols;
refcount = m.refcount;
}
return *this;
}
inline oclMat &oclMat::operator = (const Mat &m)
{
//clCxt = Context::getContext();
upload(m);
return *this;
}
/* Fixme! To be supported in OpenCL later. */
#if 0
template <class T> inline oclMat::operator DevMem2D_<T>() const
{
return DevMem2D_<T>(rows, cols, (T *)data, step);
}
template <class T> inline oclMat::operator PtrStep_<T>() const
{
return PtrStep_<T>(static_cast< DevMem2D_<T> >(*this));
}
#endif
//CPP: void oclMat::upload(const Mat& m);
inline oclMat::operator Mat() const
{
Mat m;
download(m);
return m;
}
//CPP void oclMat::download(cv::Mat& m) const;
inline oclMat oclMat::row(int y) const
{
return oclMat(*this, Range(y, y + 1), Range::all());
}
inline oclMat oclMat::col(int x) const
{
return oclMat(*this, Range::all(), Range(x, x + 1));
}
inline oclMat oclMat::rowRange(int startrow, int endrow) const
{
return oclMat(*this, Range(startrow, endrow), Range::all());
}
inline oclMat oclMat::rowRange(const Range &r) const
{
return oclMat(*this, r, Range::all());
}
inline oclMat oclMat::colRange(int startcol, int endcol) const
{
return oclMat(*this, Range::all(), Range(startcol, endcol));
}
inline oclMat oclMat::colRange(const Range &r) const
{
return oclMat(*this, Range::all(), r);
}
inline oclMat oclMat::clone() const
{
oclMat m;
copyTo(m);
return m;
}
//CPP void oclMat::copyTo( oclMat& m ) const;
//CPP void oclMat::copyTo( oclMat& m, const oclMat& mask ) const;
//CPP void oclMat::convertTo( oclMat& m, int rtype, double alpha=1, double beta=0 ) const;
inline void oclMat::assignTo( oclMat &m, int type ) const
{
if( type < 0 )
m = *this;
else
convertTo(m, type);
}
//CPP oclMat& oclMat::operator = (const Scalar& s);
//CPP oclMat& oclMat::setTo(const Scalar& s, const oclMat& mask=oclMat());
//CPP oclMat oclMat::reshape(int _cn, int _rows=0) const;
inline void oclMat::create(Size _size, int _type)
{
create(_size.height, _size.width, _type);
}
//CPP void oclMat::create(int _rows, int _cols, int _type);
//CPP void oclMat::release();
inline void oclMat::swap(oclMat &b)
{
std::swap( flags, b.flags );
std::swap( rows, b.rows );
std::swap( cols, b.cols );
std::swap( step, b.step );
std::swap( data, b.data );
std::swap( datastart, b.datastart );
std::swap( dataend, b.dataend );
std::swap( refcount, b.refcount );
std::swap( offset, b.offset );
std::swap( clCxt, b.clCxt );
std::swap( wholerows, b.wholerows );
std::swap( wholecols, b.wholecols );
}
inline void oclMat::locateROI( Size &wholeSize, Point &ofs ) const
{
size_t esz = elemSize();//, minstep;
//ptrdiff_t delta1 = offset;//, delta2 = dataend - datastart;
CV_DbgAssert( step > 0 );
if( offset == 0 )
ofs.x = ofs.y = 0;
else
{
ofs.y = (int)(offset / step);
ofs.x = (int)((offset - step * ofs.y) / esz);
//CV_DbgAssert( data == datastart + ofs.y*step + ofs.x*esz );
}
//minstep = (ofs.x + cols)*esz;
//wholeSize.height = (int)((delta2 - minstep)/step + 1);
//wholeSize.height = std::max(wholeSize.height, ofs.y + rows);
//wholeSize.width = (int)((delta2 - step*(wholeSize.height-1))/esz);
//wholeSize.width = std::max(wholeSize.width, ofs.x + cols);
wholeSize.height = wholerows;
wholeSize.width = wholecols;
}
inline oclMat &oclMat::adjustROI( int dtop, int dbottom, int dleft, int dright )
{
Size wholeSize;
Point ofs;
size_t esz = elemSize();
locateROI( wholeSize, ofs );
int row1 = std::max(ofs.y - dtop, 0), row2 = std::min(ofs.y + rows + dbottom, wholeSize.height);
int col1 = std::max(ofs.x - dleft, 0), col2 = std::min(ofs.x + cols + dright, wholeSize.width);
offset += (row1 - ofs.y) * step + (col1 - ofs.x) * esz;
rows = row2 - row1;
cols = col2 - col1;
if( esz * cols == step || rows == 1 )
flags |= Mat::CONTINUOUS_FLAG;
else
flags &= ~Mat::CONTINUOUS_FLAG;
return *this;
}
inline oclMat oclMat::operator()( Range rowRange, Range colRange ) const
{
return oclMat(*this, rowRange, colRange);
}
inline oclMat oclMat::operator()( const Rect &roi ) const
{
return oclMat(*this, roi);
}
inline bool oclMat::isContinuous() const
{
return (flags & Mat::CONTINUOUS_FLAG) != 0;
}
inline size_t oclMat::elemSize() const
{
return CV_ELEM_SIZE((CV_MAKE_TYPE(type(), oclchannels())));
}
inline size_t oclMat::elemSize1() const
{
return CV_ELEM_SIZE1(flags);
}
inline int oclMat::type() const
{
return CV_MAT_TYPE(flags);
}
inline int oclMat::ocltype() const
{
return CV_MAKE_TYPE(depth(), oclchannels());
}
inline int oclMat::depth() const
{
return CV_MAT_DEPTH(flags);
}
inline int oclMat::channels() const
{
return CV_MAT_CN(flags);
}
inline int oclMat::oclchannels() const
{
return (CV_MAT_CN(flags)) == 3 ? 4 : (CV_MAT_CN(flags));
}
inline size_t oclMat::step1() const
{
return step / elemSize1();
}
inline Size oclMat::size() const
{
return Size(cols, rows);
}
inline bool oclMat::empty() const
{
return data == 0;
}
inline uchar *oclMat::ptr(int y)
{
CV_DbgAssert( (unsigned)y < (unsigned)rows );
CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
return data + step * y;
}
inline const uchar *oclMat::ptr(int y) const
{
CV_DbgAssert( (unsigned)y < (unsigned)rows );
CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
return data + step * y;
}
template<typename _Tp> inline _Tp *oclMat::ptr(int y)
{
CV_DbgAssert( (unsigned)y < (unsigned)rows );
CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
return (_Tp *)(data + step * y);
}
template<typename _Tp> inline const _Tp *oclMat::ptr(int y) const
{
CV_DbgAssert( (unsigned)y < (unsigned)rows );
CV_Error(CV_GpuNotSupported, "This function hasn't been supported yet.\n");
return (const _Tp *)(data + step * y);
}
inline oclMat oclMat::t() const
{
oclMat tmp;
transpose(*this, tmp);
return tmp;
}
static inline void swap( oclMat &a, oclMat &b )
{
a.swap(b);
}
inline void ensureSizeIsEnough(int rows, int cols, int type, oclMat &m)
{
if (m.type() == type && m.rows >= rows && m.cols >= cols)
m = m(Rect(0, 0, cols, rows));
else
m.create(rows, cols, type);
}
inline void ensureSizeIsEnough(Size size, int type, oclMat &m)
{
ensureSizeIsEnough(size.height, size.width, type, m);
}
} /* end of namespace ocl */
} /* end of namespace cv */
#endif /* __OPENCV_GPU_MATRIX_OPERATIONS_HPP__ */