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matrix.cpp
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matrix.cpp
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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 "precomp.hpp"
#include "opencl_kernels_core.hpp"
#include "bufferpool.impl.hpp"
/****************************************************************************************\
* [scaled] Identity matrix initialization *
\****************************************************************************************/
namespace cv {
void MatAllocator::map(UMatData*, int) const
{
}
void MatAllocator::unmap(UMatData* u) const
{
if(u->urefcount == 0 && u->refcount == 0)
{
deallocate(u);
u = NULL;
}
}
void MatAllocator::download(UMatData* u, void* dstptr,
int dims, const size_t sz[],
const size_t srcofs[], const size_t srcstep[],
const size_t dststep[]) const
{
if(!u)
return;
int isz[CV_MAX_DIM];
uchar* srcptr = u->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( srcofs )
srcptr += srcofs[i]*(i <= dims-2 ? srcstep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
void MatAllocator::upload(UMatData* u, const void* srcptr, int dims, const size_t sz[],
const size_t dstofs[], const size_t dststep[],
const size_t srcstep[]) const
{
if(!u)
return;
int isz[CV_MAX_DIM];
uchar* dstptr = u->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( dstofs )
dstptr += dstofs[i]*(i <= dims-2 ? dststep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, (void*)srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
void MatAllocator::copy(UMatData* usrc, UMatData* udst, int dims, const size_t sz[],
const size_t srcofs[], const size_t srcstep[],
const size_t dstofs[], const size_t dststep[], bool /*sync*/) const
{
if(!usrc || !udst)
return;
int isz[CV_MAX_DIM];
uchar* srcptr = usrc->data;
uchar* dstptr = udst->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( srcofs )
srcptr += srcofs[i]*(i <= dims-2 ? srcstep[i] : 1);
if( dstofs )
dstptr += dstofs[i]*(i <= dims-2 ? dststep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
BufferPoolController* MatAllocator::getBufferPoolController(const char* id) const
{
(void)id;
static DummyBufferPoolController dummy;
return &dummy;
}
class StdMatAllocator : public MatAllocator
{
public:
UMatData* allocate(int dims, const int* sizes, int type,
void* data0, size_t* step, int /*flags*/, UMatUsageFlags /*usageFlags*/) const
{
size_t total = CV_ELEM_SIZE(type);
for( int i = dims-1; i >= 0; i-- )
{
if( step )
{
if( data0 && step[i] != CV_AUTOSTEP )
{
CV_Assert(total <= step[i]);
total = step[i];
}
else
step[i] = total;
}
total *= sizes[i];
}
uchar* data = data0 ? (uchar*)data0 : (uchar*)fastMalloc(total);
UMatData* u = new UMatData(this);
u->data = u->origdata = data;
u->size = total;
if(data0)
u->flags |= UMatData::USER_ALLOCATED;
return u;
}
bool allocate(UMatData* u, int /*accessFlags*/, UMatUsageFlags /*usageFlags*/) const
{
if(!u) return false;
return true;
}
void deallocate(UMatData* u) const
{
if(!u)
return;
CV_Assert(u->urefcount == 0);
CV_Assert(u->refcount == 0);
if( !(u->flags & UMatData::USER_ALLOCATED) )
{
fastFree(u->origdata);
u->origdata = 0;
}
delete u;
}
};
namespace
{
MatAllocator* g_matAllocator = NULL;
}
MatAllocator* Mat::getDefaultAllocator()
{
if (g_matAllocator == NULL)
{
g_matAllocator = getStdAllocator();
}
return g_matAllocator;
}
void Mat::setDefaultAllocator(MatAllocator* allocator)
{
g_matAllocator = allocator;
}
MatAllocator* Mat::getStdAllocator()
{
CV_SINGLETON_LAZY_INIT(MatAllocator, new StdMatAllocator())
}
void swap( Mat& a, Mat& b )
{
std::swap(a.flags, b.flags);
std::swap(a.dims, b.dims);
std::swap(a.rows, b.rows);
std::swap(a.cols, b.cols);
std::swap(a.data, b.data);
std::swap(a.datastart, b.datastart);
std::swap(a.dataend, b.dataend);
std::swap(a.datalimit, b.datalimit);
std::swap(a.allocator, b.allocator);
std::swap(a.u, b.u);
std::swap(a.size.p, b.size.p);
std::swap(a.step.p, b.step.p);
std::swap(a.step.buf[0], b.step.buf[0]);
std::swap(a.step.buf[1], b.step.buf[1]);
if( a.step.p == b.step.buf )
{
a.step.p = a.step.buf;
a.size.p = &a.rows;
}
if( b.step.p == a.step.buf )
{
b.step.p = b.step.buf;
b.size.p = &b.rows;
}
}
static inline void setSize( Mat& m, int _dims, const int* _sz,
const size_t* _steps, bool autoSteps=false )
{
CV_Assert( 0 <= _dims && _dims <= CV_MAX_DIM );
if( m.dims != _dims )
{
if( m.step.p != m.step.buf )
{
fastFree(m.step.p);
m.step.p = m.step.buf;
m.size.p = &m.rows;
}
if( _dims > 2 )
{
m.step.p = (size_t*)fastMalloc(_dims*sizeof(m.step.p[0]) + (_dims+1)*sizeof(m.size.p[0]));
m.size.p = (int*)(m.step.p + _dims) + 1;
m.size.p[-1] = _dims;
m.rows = m.cols = -1;
}
}
m.dims = _dims;
if( !_sz )
return;
size_t esz = CV_ELEM_SIZE(m.flags), esz1 = CV_ELEM_SIZE1(m.flags), total = esz;
int i;
for( i = _dims-1; i >= 0; i-- )
{
int s = _sz[i];
CV_Assert( s >= 0 );
m.size.p[i] = s;
if( _steps )
{
if (_steps[i] % esz1 != 0)
{
CV_Error(Error::BadStep, "Step must be a multiple of esz1");
}
m.step.p[i] = i < _dims-1 ? _steps[i] : esz;
}
else if( autoSteps )
{
m.step.p[i] = total;
int64 total1 = (int64)total*s;
if( (uint64)total1 != (size_t)total1 )
CV_Error( CV_StsOutOfRange, "The total matrix size does not fit to \"size_t\" type" );
total = (size_t)total1;
}
}
if( _dims == 1 )
{
m.dims = 2;
m.cols = 1;
m.step[1] = esz;
}
}
static void updateContinuityFlag(Mat& m)
{
int i, j;
for( i = 0; i < m.dims; i++ )
{
if( m.size[i] > 1 )
break;
}
for( j = m.dims-1; j > i; j-- )
{
if( m.step[j]*m.size[j] < m.step[j-1] )
break;
}
uint64 t = (uint64)m.step[0]*m.size[0];
if( j <= i && t == (size_t)t )
m.flags |= Mat::CONTINUOUS_FLAG;
else
m.flags &= ~Mat::CONTINUOUS_FLAG;
}
static void finalizeHdr(Mat& m)
{
updateContinuityFlag(m);
int d = m.dims;
if( d > 2 )
m.rows = m.cols = -1;
if(m.u)
m.datastart = m.data = m.u->data;
if( m.data )
{
m.datalimit = m.datastart + m.size[0]*m.step[0];
if( m.size[0] > 0 )
{
m.dataend = m.ptr() + m.size[d-1]*m.step[d-1];
for( int i = 0; i < d-1; i++ )
m.dataend += (m.size[i] - 1)*m.step[i];
}
else
m.dataend = m.datalimit;
}
else
m.dataend = m.datalimit = 0;
}
void Mat::create(int d, const int* _sizes, int _type)
{
int i;
CV_Assert(0 <= d && d <= CV_MAX_DIM && _sizes);
_type = CV_MAT_TYPE(_type);
if( data && (d == dims || (d == 1 && dims <= 2)) && _type == type() )
{
if( d == 2 && rows == _sizes[0] && cols == _sizes[1] )
return;
for( i = 0; i < d; i++ )
if( size[i] != _sizes[i] )
break;
if( i == d && (d > 1 || size[1] == 1))
return;
}
int _sizes_backup[CV_MAX_DIM]; // #5991
if (_sizes == (this->size.p))
{
for(i = 0; i < d; i++ )
_sizes_backup[i] = _sizes[i];
_sizes = _sizes_backup;
}
release();
if( d == 0 )
return;
flags = (_type & CV_MAT_TYPE_MASK) | MAGIC_VAL;
setSize(*this, d, _sizes, 0, true);
if( total() > 0 )
{
MatAllocator *a = allocator, *a0 = getDefaultAllocator();
#ifdef HAVE_TGPU
if( !a || a == tegra::getAllocator() )
a = tegra::getAllocator(d, _sizes, _type);
#endif
if(!a)
a = a0;
try
{
u = a->allocate(dims, size, _type, 0, step.p, 0, USAGE_DEFAULT);
CV_Assert(u != 0);
}
catch(...)
{
if(a != a0)
u = a0->allocate(dims, size, _type, 0, step.p, 0, USAGE_DEFAULT);
CV_Assert(u != 0);
}
CV_Assert( step[dims-1] == (size_t)CV_ELEM_SIZE(flags) );
}
addref();
finalizeHdr(*this);
}
void Mat::copySize(const Mat& m)
{
setSize(*this, m.dims, 0, 0);
for( int i = 0; i < dims; i++ )
{
size[i] = m.size[i];
step[i] = m.step[i];
}
}
void Mat::deallocate()
{
if(u)
(u->currAllocator ? u->currAllocator : allocator ? allocator : getDefaultAllocator())->unmap(u);
u = NULL;
}
Mat::Mat(const Mat& m, const Range& _rowRange, const Range& _colRange)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows)
{
CV_Assert( m.dims >= 2 );
if( m.dims > 2 )
{
AutoBuffer<Range> rs(m.dims);
rs[0] = _rowRange;
rs[1] = _colRange;
for( int i = 2; i < m.dims; i++ )
rs[i] = Range::all();
*this = m(rs);
return;
}
*this = m;
if( _rowRange != Range::all() && _rowRange != Range(0,rows) )
{
CV_Assert( 0 <= _rowRange.start && _rowRange.start <= _rowRange.end && _rowRange.end <= m.rows );
rows = _rowRange.size();
data += step*_rowRange.start;
flags |= SUBMATRIX_FLAG;
}
if( _colRange != Range::all() && _colRange != Range(0,cols) )
{
CV_Assert( 0 <= _colRange.start && _colRange.start <= _colRange.end && _colRange.end <= m.cols );
cols = _colRange.size();
data += _colRange.start*elemSize();
flags &= cols < m.cols ? ~CONTINUOUS_FLAG : -1;
flags |= SUBMATRIX_FLAG;
}
if( rows == 1 )
flags |= CONTINUOUS_FLAG;
if( rows <= 0 || cols <= 0 )
{
release();
rows = cols = 0;
}
}
Mat::Mat(const Mat& m, const Rect& roi)
: flags(m.flags), dims(2), rows(roi.height), cols(roi.width),
data(m.data + roi.y*m.step[0]),
datastart(m.datastart), dataend(m.dataend), datalimit(m.datalimit),
allocator(m.allocator), u(m.u), size(&rows)
{
CV_Assert( m.dims <= 2 );
flags &= roi.width < m.cols ? ~CONTINUOUS_FLAG : -1;
flags |= roi.height == 1 ? CONTINUOUS_FLAG : 0;
size_t esz = CV_ELEM_SIZE(flags);
data += roi.x*esz;
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( u )
CV_XADD(&u->refcount, 1);
if( roi.width < m.cols || roi.height < m.rows )
flags |= SUBMATRIX_FLAG;
step[0] = m.step[0]; step[1] = esz;
if( rows <= 0 || cols <= 0 )
{
release();
rows = cols = 0;
}
}
Mat::Mat(int _dims, const int* _sizes, int _type, void* _data, const size_t* _steps)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows)
{
flags |= CV_MAT_TYPE(_type);
datastart = data = (uchar*)_data;
setSize(*this, _dims, _sizes, _steps, true);
finalizeHdr(*this);
}
Mat::Mat(const Mat& m, const Range* ranges)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows)
{
int i, d = m.dims;
CV_Assert(ranges);
for( i = 0; i < d; i++ )
{
Range r = ranges[i];
CV_Assert( r == Range::all() || (0 <= r.start && r.start < r.end && r.end <= m.size[i]) );
}
*this = m;
for( i = 0; i < d; i++ )
{
Range r = ranges[i];
if( r != Range::all() && r != Range(0, size.p[i]))
{
size.p[i] = r.end - r.start;
data += r.start*step.p[i];
flags |= SUBMATRIX_FLAG;
}
}
updateContinuityFlag(*this);
}
static Mat cvMatNDToMat(const CvMatND* m, bool copyData)
{
Mat thiz;
if( !m )
return thiz;
thiz.datastart = thiz.data = m->data.ptr;
thiz.flags |= CV_MAT_TYPE(m->type);
int _sizes[CV_MAX_DIM];
size_t _steps[CV_MAX_DIM];
int i, d = m->dims;
for( i = 0; i < d; i++ )
{
_sizes[i] = m->dim[i].size;
_steps[i] = m->dim[i].step;
}
setSize(thiz, d, _sizes, _steps);
finalizeHdr(thiz);
if( copyData )
{
Mat temp(thiz);
thiz.release();
temp.copyTo(thiz);
}
return thiz;
}
static Mat cvMatToMat(const CvMat* m, bool copyData)
{
Mat thiz;
if( !m )
return thiz;
if( !copyData )
{
thiz.flags = Mat::MAGIC_VAL + (m->type & (CV_MAT_TYPE_MASK|CV_MAT_CONT_FLAG));
thiz.dims = 2;
thiz.rows = m->rows;
thiz.cols = m->cols;
thiz.datastart = thiz.data = m->data.ptr;
size_t esz = CV_ELEM_SIZE(m->type), minstep = thiz.cols*esz, _step = m->step;
if( _step == 0 )
_step = minstep;
thiz.datalimit = thiz.datastart + _step*thiz.rows;
thiz.dataend = thiz.datalimit - _step + minstep;
thiz.step[0] = _step; thiz.step[1] = esz;
}
else
{
thiz.datastart = thiz.dataend = thiz.data = 0;
Mat(m->rows, m->cols, m->type, m->data.ptr, m->step).copyTo(thiz);
}
return thiz;
}
static Mat iplImageToMat(const IplImage* img, bool copyData)
{
Mat m;
if( !img )
return m;
m.dims = 2;
CV_DbgAssert(CV_IS_IMAGE(img) && img->imageData != 0);
int imgdepth = IPL2CV_DEPTH(img->depth);
size_t esz;
m.step[0] = img->widthStep;
if(!img->roi)
{
CV_Assert(img->dataOrder == IPL_DATA_ORDER_PIXEL);
m.flags = Mat::MAGIC_VAL + CV_MAKETYPE(imgdepth, img->nChannels);
m.rows = img->height;
m.cols = img->width;
m.datastart = m.data = (uchar*)img->imageData;
esz = CV_ELEM_SIZE(m.flags);
}
else
{
CV_Assert(img->dataOrder == IPL_DATA_ORDER_PIXEL || img->roi->coi != 0);
bool selectedPlane = img->roi->coi && img->dataOrder == IPL_DATA_ORDER_PLANE;
m.flags = Mat::MAGIC_VAL + CV_MAKETYPE(imgdepth, selectedPlane ? 1 : img->nChannels);
m.rows = img->roi->height;
m.cols = img->roi->width;
esz = CV_ELEM_SIZE(m.flags);
m.datastart = m.data = (uchar*)img->imageData +
(selectedPlane ? (img->roi->coi - 1)*m.step*img->height : 0) +
img->roi->yOffset*m.step[0] + img->roi->xOffset*esz;
}
m.datalimit = m.datastart + m.step.p[0]*m.rows;
m.dataend = m.datastart + m.step.p[0]*(m.rows-1) + esz*m.cols;
m.flags |= (m.cols*esz == m.step.p[0] || m.rows == 1 ? Mat::CONTINUOUS_FLAG : 0);
m.step[1] = esz;
if( copyData )
{
Mat m2 = m;
m.release();
if( !img->roi || !img->roi->coi ||
img->dataOrder == IPL_DATA_ORDER_PLANE)
m2.copyTo(m);
else
{
int ch[] = {img->roi->coi - 1, 0};
m.create(m2.rows, m2.cols, m2.type());
mixChannels(&m2, 1, &m, 1, ch, 1);
}
}
return m;
}
Mat Mat::diag(int d) const
{
CV_Assert( dims <= 2 );
Mat m = *this;
size_t esz = elemSize();
int len;
if( d >= 0 )
{
len = std::min(cols - d, rows);
m.data += esz*d;
}
else
{
len = std::min(rows + d, cols);
m.data -= step[0]*d;
}
CV_DbgAssert( len > 0 );
m.size[0] = m.rows = len;
m.size[1] = m.cols = 1;
m.step[0] += (len > 1 ? esz : 0);
if( m.rows > 1 )
m.flags &= ~CONTINUOUS_FLAG;
else
m.flags |= CONTINUOUS_FLAG;
if( size() != Size(1,1) )
m.flags |= SUBMATRIX_FLAG;
return m;
}
void Mat::pop_back(size_t nelems)
{
CV_Assert( nelems <= (size_t)size.p[0] );
if( isSubmatrix() )
*this = rowRange(0, size.p[0] - (int)nelems);
else
{
size.p[0] -= (int)nelems;
dataend -= nelems*step.p[0];
/*if( size.p[0] <= 1 )
{
if( dims <= 2 )
flags |= CONTINUOUS_FLAG;
else
updateContinuityFlag(*this);
}*/
}
}
void Mat::push_back_(const void* elem)
{
int r = size.p[0];
if( isSubmatrix() || dataend + step.p[0] > datalimit )
reserve( std::max(r + 1, (r*3+1)/2) );
size_t esz = elemSize();
memcpy(data + r*step.p[0], elem, esz);
size.p[0] = r + 1;
dataend += step.p[0];
if( esz < step.p[0] )
flags &= ~CONTINUOUS_FLAG;
}
void Mat::reserve(size_t nelems)
{
const size_t MIN_SIZE = 64;
CV_Assert( (int)nelems >= 0 );
if( !isSubmatrix() && data + step.p[0]*nelems <= datalimit )
return;
int r = size.p[0];
if( (size_t)r >= nelems )
return;
size.p[0] = std::max((int)nelems, 1);
size_t newsize = total()*elemSize();
if( newsize < MIN_SIZE )
size.p[0] = (int)((MIN_SIZE + newsize - 1)*nelems/newsize);
Mat m(dims, size.p, type());
size.p[0] = r;
if( r > 0 )
{
Mat mpart = m.rowRange(0, r);
copyTo(mpart);
}
*this = m;
size.p[0] = r;
dataend = data + step.p[0]*r;
}
void Mat::resize(size_t nelems)
{
int saveRows = size.p[0];
if( saveRows == (int)nelems )
return;
CV_Assert( (int)nelems >= 0 );
if( isSubmatrix() || data + step.p[0]*nelems > datalimit )
reserve(nelems);
size.p[0] = (int)nelems;
dataend += (size.p[0] - saveRows)*step.p[0];
//updateContinuityFlag(*this);
}
void Mat::resize(size_t nelems, const Scalar& s)
{
int saveRows = size.p[0];
resize(nelems);
if( size.p[0] > saveRows )
{
Mat part = rowRange(saveRows, size.p[0]);
part = s;
}
}
void Mat::push_back(const Mat& elems)
{
int r = size.p[0], delta = elems.size.p[0];
if( delta == 0 )
return;
if( this == &elems )
{
Mat tmp = elems;
push_back(tmp);
return;
}
if( !data )
{
*this = elems.clone();
return;
}
size.p[0] = elems.size.p[0];
bool eq = size == elems.size;
size.p[0] = r;
if( !eq )
CV_Error(CV_StsUnmatchedSizes, "");
if( type() != elems.type() )
CV_Error(CV_StsUnmatchedFormats, "");
if( isSubmatrix() || dataend + step.p[0]*delta > datalimit )
reserve( std::max(r + delta, (r*3+1)/2) );
size.p[0] += delta;
dataend += step.p[0]*delta;
//updateContinuityFlag(*this);
if( isContinuous() && elems.isContinuous() )
memcpy(data + r*step.p[0], elems.data, elems.total()*elems.elemSize());
else
{
Mat part = rowRange(r, r + delta);
elems.copyTo(part);
}
}
Mat cvarrToMat(const CvArr* arr, bool copyData,
bool /*allowND*/, int coiMode, AutoBuffer<double>* abuf )
{
if( !arr )
return Mat();
if( CV_IS_MAT_HDR_Z(arr) )
return cvMatToMat((const CvMat*)arr, copyData);
if( CV_IS_MATND(arr) )
return cvMatNDToMat((const CvMatND*)arr, copyData );
if( CV_IS_IMAGE(arr) )
{
const IplImage* iplimg = (const IplImage*)arr;
if( coiMode == 0 && iplimg->roi && iplimg->roi->coi > 0 )
CV_Error(CV_BadCOI, "COI is not supported by the function");
return iplImageToMat(iplimg, copyData);
}
if( CV_IS_SEQ(arr) )
{
CvSeq* seq = (CvSeq*)arr;
int total = seq->total, type = CV_MAT_TYPE(seq->flags), esz = seq->elem_size;
if( total == 0 )
return Mat();
CV_Assert(total > 0 && CV_ELEM_SIZE(seq->flags) == esz);
if(!copyData && seq->first->next == seq->first)
return Mat(total, 1, type, seq->first->data);
if( abuf )
{
abuf->allocate(((size_t)total*esz + sizeof(double)-1)/sizeof(double));
double* bufdata = *abuf;
cvCvtSeqToArray(seq, bufdata, CV_WHOLE_SEQ);
return Mat(total, 1, type, bufdata);
}
Mat buf(total, 1, type);
cvCvtSeqToArray(seq, buf.ptr(), CV_WHOLE_SEQ);
return buf;
}
CV_Error(CV_StsBadArg, "Unknown array type");
return Mat();
}
void Mat::locateROI( Size& wholeSize, Point& ofs ) const
{
CV_Assert( dims <= 2 && step[0] > 0 );
size_t esz = elemSize(), minstep;
ptrdiff_t delta1 = data - datastart, delta2 = dataend - datastart;
if( delta1 == 0 )
ofs.x = ofs.y = 0;
else
{
ofs.y = (int)(delta1/step[0]);
ofs.x = (int)((delta1 - step[0]*ofs.y)/esz);
CV_DbgAssert( data == datastart + ofs.y*step[0] + ofs.x*esz );
}
minstep = (ofs.x + cols)*esz;
wholeSize.height = (int)((delta2 - minstep)/step[0] + 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);
}
Mat& Mat::adjustROI( int dtop, int dbottom, int dleft, int dright )
{
CV_Assert( dims <= 2 && step[0] > 0 );
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);
data += (row1 - ofs.y)*step + (col1 - ofs.x)*esz;
rows = row2 - row1; cols = col2 - col1;
size.p[0] = rows; size.p[1] = cols;
if( esz*cols == step[0] || rows == 1 )
flags |= CONTINUOUS_FLAG;
else
flags &= ~CONTINUOUS_FLAG;
return *this;
}
}
void cv::extractImageCOI(const CvArr* arr, OutputArray _ch, int coi)
{
Mat mat = cvarrToMat(arr, false, true, 1);
_ch.create(mat.dims, mat.size, mat.depth());
Mat ch = _ch.getMat();
if(coi < 0)
{
CV_Assert( CV_IS_IMAGE(arr) );
coi = cvGetImageCOI((const IplImage*)arr)-1;
}
CV_Assert(0 <= coi && coi < mat.channels());
int _pairs[] = { coi, 0 };
mixChannels( &mat, 1, &ch, 1, _pairs, 1 );
}
void cv::insertImageCOI(InputArray _ch, CvArr* arr, int coi)
{
Mat ch = _ch.getMat(), mat = cvarrToMat(arr, false, true, 1);
if(coi < 0)
{
CV_Assert( CV_IS_IMAGE(arr) );
coi = cvGetImageCOI((const IplImage*)arr)-1;
}
CV_Assert(ch.size == mat.size && ch.depth() == mat.depth() && 0 <= coi && coi < mat.channels());
int _pairs[] = { 0, coi };
mixChannels( &ch, 1, &mat, 1, _pairs, 1 );
}
namespace cv
{
Mat Mat::reshape(int new_cn, int new_rows) const
{
int cn = channels();
Mat hdr = *this;
if( dims > 2 && new_rows == 0 && new_cn != 0 && size[dims-1]*cn % new_cn == 0 )
{
hdr.flags = (hdr.flags & ~CV_MAT_CN_MASK) | ((new_cn-1) << CV_CN_SHIFT);
hdr.step[dims-1] = CV_ELEM_SIZE(hdr.flags);
hdr.size[dims-1] = hdr.size[dims-1]*cn / new_cn;
return hdr;
}
CV_Assert( dims <= 2 );
if( new_cn == 0 )
new_cn = cn;
int total_width = cols * cn;
if( (new_cn > total_width || total_width % new_cn != 0) && new_rows == 0 )
new_rows = rows * total_width / new_cn;
if( new_rows != 0 && new_rows != rows )