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array.cpp
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array.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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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*/
/* ////////////////////////////////////////////////////////////////////
//
// CvMat, CvMatND, CvSparceMat and IplImage support functions
// (creation, deletion, copying, retrieving and setting elements etc.)
//
// */
#include "precomp.hpp"
#ifndef OPENCV_EXCLUDE_C_API
#define CV_ORIGIN_TL 0
#define CV_ORIGIN_BL 1
/* default image row align (in bytes) */
#define CV_DEFAULT_IMAGE_ROW_ALIGN 4
static struct
{
Cv_iplCreateImageHeader createHeader;
Cv_iplAllocateImageData allocateData;
Cv_iplDeallocate deallocate;
Cv_iplCreateROI createROI;
Cv_iplCloneImage cloneImage;
}
CvIPL;
// Makes the library use native IPL image allocators
CV_IMPL void
cvSetIPLAllocators( Cv_iplCreateImageHeader createHeader,
Cv_iplAllocateImageData allocateData,
Cv_iplDeallocate deallocate,
Cv_iplCreateROI createROI,
Cv_iplCloneImage cloneImage )
{
int count = (createHeader != 0) + (allocateData != 0) + (deallocate != 0) +
(createROI != 0) + (cloneImage != 0);
if( count != 0 && count != 5 )
CV_Error( cv::Error::StsBadArg, "Either all the pointers should be null or "
"they all should be non-null" );
CvIPL.createHeader = createHeader;
CvIPL.allocateData = allocateData;
CvIPL.deallocate = deallocate;
CvIPL.createROI = createROI;
CvIPL.cloneImage = cloneImage;
}
/****************************************************************************************\
* CvMat creation and basic operations *
\****************************************************************************************/
// Creates CvMat and underlying data
CV_IMPL CvMat*
cvCreateMat( int height, int width, int type )
{
CvMat* arr = cvCreateMatHeader( height, width, type );
cvCreateData( arr );
return arr;
}
static void icvCheckHuge( CvMat* arr )
{
if( (int64)arr->step*arr->rows > INT_MAX )
arr->type &= ~CV_MAT_CONT_FLAG;
}
// Creates CvMat header only
CV_IMPL CvMat*
cvCreateMatHeader( int rows, int cols, int type )
{
type = CV_MAT_TYPE(type);
if( rows < 0 || cols < 0 )
CV_Error( cv::Error::StsBadSize, "Non-positive width or height" );
int min_step = CV_ELEM_SIZE(type);
if( min_step <= 0 )
CV_Error( cv::Error::StsUnsupportedFormat, "Invalid matrix type" );
min_step *= cols;
CvMat* arr = (CvMat*)cvAlloc( sizeof(*arr));
arr->step = min_step;
arr->type = CV_MAT_MAGIC_VAL | type | CV_MAT_CONT_FLAG;
arr->rows = rows;
arr->cols = cols;
arr->data.ptr = 0;
arr->refcount = 0;
arr->hdr_refcount = 1;
icvCheckHuge( arr );
return arr;
}
// Initializes CvMat header, allocated by the user
CV_IMPL CvMat*
cvInitMatHeader( CvMat* arr, int rows, int cols,
int type, void* data, int step )
{
if( !arr )
CV_Error( cv::Error::StsNullPtr, "" );
if( (unsigned)CV_MAT_DEPTH(type) > CV_DEPTH_MAX )
CV_Error( cv::Error::BadNumChannels, "" );
if( rows < 0 || cols < 0 )
CV_Error( cv::Error::StsBadSize, "Non-positive cols or rows" );
type = CV_MAT_TYPE( type );
arr->type = type | CV_MAT_MAGIC_VAL;
arr->rows = rows;
arr->cols = cols;
arr->data.ptr = (uchar*)data;
arr->refcount = 0;
arr->hdr_refcount = 0;
int pix_size = CV_ELEM_SIZE(type);
int min_step = arr->cols*pix_size;
if( step != CV_AUTOSTEP && step != 0 )
{
if( step < min_step )
CV_Error( cv::Error::BadStep, "" );
arr->step = step;
}
else
{
arr->step = min_step;
}
arr->type = CV_MAT_MAGIC_VAL | type |
(arr->rows == 1 || arr->step == min_step ? CV_MAT_CONT_FLAG : 0);
icvCheckHuge( arr );
return arr;
}
// Deallocates the CvMat structure and underlying data
CV_IMPL void
cvReleaseMat( CvMat** array )
{
if( !array )
CV_Error( CV_HeaderIsNull, "" );
if( *array )
{
CvMat* arr = *array;
if( !CV_IS_MAT_HDR_Z(arr) && !CV_IS_MATND_HDR(arr) )
CV_Error( cv::Error::StsBadFlag, "" );
*array = 0;
cvDecRefData( arr );
cvFree( &arr );
}
}
// Creates a copy of matrix
CV_IMPL CvMat*
cvCloneMat( const CvMat* src )
{
if( !CV_IS_MAT_HDR( src ))
CV_Error( cv::Error::StsBadArg, "Bad CvMat header" );
CvMat* dst = cvCreateMatHeader( src->rows, src->cols, src->type );
if( src->data.ptr )
{
cvCreateData( dst );
cvCopy( src, dst );
}
return dst;
}
/****************************************************************************************\
* CvMatND creation and basic operations *
\****************************************************************************************/
CV_IMPL CvMatND*
cvInitMatNDHeader( CvMatND* mat, int dims, const int* sizes,
int type, void* data )
{
type = CV_MAT_TYPE(type);
int64 step = CV_ELEM_SIZE(type);
if( !mat )
CV_Error( cv::Error::StsNullPtr, "NULL matrix header pointer" );
if( step == 0 )
CV_Error( cv::Error::StsUnsupportedFormat, "invalid array data type" );
if( !sizes )
CV_Error( cv::Error::StsNullPtr, "NULL <sizes> pointer" );
if( dims <= 0 || dims > CV_MAX_DIM )
CV_Error( cv::Error::StsOutOfRange,
"non-positive or too large number of dimensions" );
for( int i = dims - 1; i >= 0; i-- )
{
if( sizes[i] < 0 )
CV_Error( cv::Error::StsBadSize, "one of dimension sizes is non-positive" );
mat->dim[i].size = sizes[i];
if( step > INT_MAX )
CV_Error( cv::Error::StsOutOfRange, "The array is too big" );
mat->dim[i].step = (int)step;
step *= sizes[i];
}
mat->type = CV_MATND_MAGIC_VAL | (step <= INT_MAX ? CV_MAT_CONT_FLAG : 0) | type;
mat->dims = dims;
mat->data.ptr = (uchar*)data;
mat->refcount = 0;
mat->hdr_refcount = 0;
return mat;
}
// Creates CvMatND and underlying data
CV_IMPL CvMatND*
cvCreateMatND( int dims, const int* sizes, int type )
{
CvMatND* arr = cvCreateMatNDHeader( dims, sizes, type );
cvCreateData( arr );
return arr;
}
// Creates CvMatND header only
CV_IMPL CvMatND*
cvCreateMatNDHeader( int dims, const int* sizes, int type )
{
if( dims <= 0 || dims > CV_MAX_DIM )
CV_Error( cv::Error::StsOutOfRange,
"non-positive or too large number of dimensions" );
CvMatND* arr = (CvMatND*)cvAlloc( sizeof(*arr) );
cvInitMatNDHeader( arr, dims, sizes, type, 0 );
arr->hdr_refcount = 1;
return arr;
}
// Creates a copy of nD array
CV_IMPL CvMatND*
cvCloneMatND( const CvMatND* src )
{
if( !CV_IS_MATND_HDR( src ))
CV_Error( cv::Error::StsBadArg, "Bad CvMatND header" );
CV_Assert( src->dims <= CV_MAX_DIM );
int sizes[CV_MAX_DIM];
for( int i = 0; i < src->dims; i++ )
sizes[i] = src->dim[i].size;
CvMatND* dst = cvCreateMatNDHeader( src->dims, sizes, src->type );
if( src->data.ptr )
{
cvCreateData( dst );
cv::Mat _src = cv::cvarrToMat(src);
cv::Mat _dst = cv::cvarrToMat(dst);
uchar* data0 = dst->data.ptr;
_src.copyTo(_dst);
CV_Assert(_dst.data == data0);
//cvCopy( src, dst );
}
return dst;
}
static CvMatND*
cvGetMatND( const CvArr* arr, CvMatND* matnd, int* coi )
{
CvMatND* result = 0;
if( coi )
*coi = 0;
if( !matnd || !arr )
CV_Error( cv::Error::StsNullPtr, "NULL array pointer is passed" );
if( CV_IS_MATND_HDR(arr))
{
if( !((CvMatND*)arr)->data.ptr )
CV_Error( cv::Error::StsNullPtr, "The matrix has NULL data pointer" );
result = (CvMatND*)arr;
}
else
{
CvMat stub, *mat = (CvMat*)arr;
if( CV_IS_IMAGE_HDR( mat ))
mat = cvGetMat( mat, &stub, coi );
if( !CV_IS_MAT_HDR( mat ))
CV_Error( cv::Error::StsBadArg, "Unrecognized or unsupported array type" );
if( !mat->data.ptr )
CV_Error( cv::Error::StsNullPtr, "Input array has NULL data pointer" );
matnd->data.ptr = mat->data.ptr;
matnd->refcount = 0;
matnd->hdr_refcount = 0;
matnd->type = mat->type;
matnd->dims = 2;
matnd->dim[0].size = mat->rows;
matnd->dim[0].step = mat->step;
matnd->dim[1].size = mat->cols;
matnd->dim[1].step = CV_ELEM_SIZE(mat->type);
result = matnd;
}
return result;
}
// returns number of dimensions to iterate.
/*
Checks whether <count> arrays have equal type, sizes (mask is optional array
that needs to have the same size, but 8uC1 or 8sC1 type - feature has been disabled).
Returns number of dimensions to iterate through:
0 means that all arrays are continuous,
1 means that all arrays are vectors of continuous arrays etc.
and the size of largest common continuous part of the arrays
*/
CV_IMPL int
cvInitNArrayIterator( int count, CvArr** arrs,
const CvArr* mask, CvMatND* stubs,
CvNArrayIterator* iterator, int flags )
{
int dims = -1;
int i, j, size, dim0 = -1;
int64 step;
CvMatND* hdr0 = 0;
if( count < 1 || count > CV_MAX_ARR )
CV_Error( cv::Error::StsOutOfRange, "Incorrect number of arrays" );
if( !arrs || !stubs )
CV_Error( cv::Error::StsNullPtr, "Some of required array pointers is NULL" );
if( !iterator )
CV_Error( cv::Error::StsNullPtr, "Iterator pointer is NULL" );
if (mask)
CV_Error( cv::Error::StsBadArg, "Iterator with mask is not supported" );
for( i = 0; i < count; i++ )
{
const CvArr* arr = arrs[i];
CvMatND* hdr;
if( !arr )
CV_Error( cv::Error::StsNullPtr, "Some of required array pointers is NULL" );
if( CV_IS_MATND( arr ))
hdr = (CvMatND*)arr;
else
{
int coi = 0;
hdr = cvGetMatND( arr, stubs + i, &coi );
if( coi != 0 )
CV_Error( cv::Error::BadCOI, "COI set is not allowed here" );
}
iterator->hdr[i] = hdr;
if( i > 0 )
{
if( hdr->dims != hdr0->dims )
CV_Error( cv::Error::StsUnmatchedSizes,
"Number of dimensions is the same for all arrays" );
switch( flags & (CV_NO_DEPTH_CHECK|CV_NO_CN_CHECK))
{
case 0:
if( !CV_ARE_TYPES_EQ( hdr, hdr0 ))
CV_Error( cv::Error::StsUnmatchedFormats,
"Data type is not the same for all arrays" );
break;
case CV_NO_DEPTH_CHECK:
if( !CV_ARE_CNS_EQ( hdr, hdr0 ))
CV_Error( cv::Error::StsUnmatchedFormats,
"Number of channels is not the same for all arrays" );
break;
case CV_NO_CN_CHECK:
if( !CV_ARE_CNS_EQ( hdr, hdr0 ))
CV_Error( cv::Error::StsUnmatchedFormats,
"Depth is not the same for all arrays" );
break;
}
if( !(flags & CV_NO_SIZE_CHECK) )
{
for( j = 0; j < hdr->dims; j++ )
if( hdr->dim[j].size != hdr0->dim[j].size )
CV_Error( cv::Error::StsUnmatchedSizes,
"Dimension sizes are the same for all arrays" );
}
}
else
hdr0 = hdr;
step = CV_ELEM_SIZE(hdr->type);
for( j = hdr->dims - 1; j > dim0; j-- )
{
if( step != hdr->dim[j].step )
break;
step *= hdr->dim[j].size;
}
if( j == dim0 && step > INT_MAX )
j++;
if( j > dim0 )
dim0 = j;
iterator->hdr[i] = (CvMatND*)hdr;
iterator->ptr[i] = (uchar*)hdr->data.ptr;
}
size = 1;
for( j = hdr0->dims - 1; j > dim0; j-- )
size *= hdr0->dim[j].size;
dims = dim0 + 1;
iterator->dims = dims;
iterator->count = count;
iterator->size = cvSize(size,1);
for( i = 0; i < dims; i++ )
iterator->stack[i] = hdr0->dim[i].size;
return dims;
}
// returns zero value if iteration is finished, non-zero otherwise
CV_IMPL int cvNextNArraySlice( CvNArrayIterator* iterator )
{
CV_Assert( iterator != 0 );
int i, dims;
for( dims = iterator->dims; dims > 0; dims-- )
{
for( i = 0; i < iterator->count; i++ )
iterator->ptr[i] += iterator->hdr[i]->dim[dims-1].step;
if( --iterator->stack[dims-1] > 0 )
break;
const int size = iterator->hdr[0]->dim[dims-1].size;
for( i = 0; i < iterator->count; i++ )
iterator->ptr[i] -= (size_t)size*iterator->hdr[i]->dim[dims-1].step;
iterator->stack[dims-1] = size;
}
return dims > 0;
}
/****************************************************************************************\
* CvSparseMat creation and basic operations *
\****************************************************************************************/
// Creates CvMatND and underlying data
CV_IMPL CvSparseMat*
cvCreateSparseMat( int dims, const int* sizes, int type )
{
type = CV_MAT_TYPE( type );
int pix_size1 = CV_ELEM_SIZE1(type);
int pix_size = pix_size1*CV_MAT_CN(type);
int i, size;
CvMemStorage* storage;
if( pix_size == 0 )
CV_Error( cv::Error::StsUnsupportedFormat, "invalid array data type" );
if( dims <= 0 || dims > CV_MAX_DIM )
CV_Error( cv::Error::StsOutOfRange, "bad number of dimensions" );
if( !sizes )
CV_Error( cv::Error::StsNullPtr, "NULL <sizes> pointer" );
for( i = 0; i < dims; i++ )
{
if( sizes[i] <= 0 )
CV_Error( cv::Error::StsBadSize, "one of dimension sizes is non-positive" );
}
CvSparseMat* arr = (CvSparseMat*)cvAlloc(sizeof(*arr)+MAX(0,dims-CV_MAX_DIM)*sizeof(arr->size[0]));
arr->type = CV_SPARSE_MAT_MAGIC_VAL | type;
arr->dims = dims;
arr->refcount = 0;
arr->hdr_refcount = 1;
memcpy( arr->size, sizes, dims*sizeof(sizes[0]));
arr->valoffset = (int)cvAlign(sizeof(CvSparseNode), pix_size1);
arr->idxoffset = (int)cvAlign(arr->valoffset + pix_size, sizeof(int));
size = (int)cvAlign(arr->idxoffset + dims*sizeof(int), sizeof(CvSetElem));
storage = cvCreateMemStorage( CV_SPARSE_MAT_BLOCK );
arr->heap = cvCreateSet( 0, sizeof(CvSet), size, storage );
arr->hashsize = CV_SPARSE_HASH_SIZE0;
size = arr->hashsize*sizeof(arr->hashtable[0]);
arr->hashtable = (void**)cvAlloc( size );
memset( arr->hashtable, 0, size );
return arr;
}
// Creates CvMatND and underlying data
CV_IMPL void
cvReleaseSparseMat( CvSparseMat** array )
{
if( !array )
CV_Error( CV_HeaderIsNull, "" );
if( *array )
{
CvSparseMat* arr = *array;
if( !CV_IS_SPARSE_MAT_HDR(arr) )
CV_Error( cv::Error::StsBadFlag, "" );
*array = 0;
CvMemStorage* storage = arr->heap->storage;
cvReleaseMemStorage( &storage );
cvFree( &arr->hashtable );
cvFree( &arr );
}
}
// Creates CvMatND and underlying data
CV_IMPL CvSparseMat*
cvCloneSparseMat( const CvSparseMat* src )
{
if( !CV_IS_SPARSE_MAT_HDR(src) )
CV_Error( cv::Error::StsBadArg, "Invalid sparse array header" );
CvSparseMat* dst = cvCreateSparseMat( src->dims, src->size, src->type );
cvCopy( src, dst );
return dst;
}
CvSparseNode*
cvInitSparseMatIterator( const CvSparseMat* mat, CvSparseMatIterator* iterator )
{
CvSparseNode* node = 0;
int idx;
if( !CV_IS_SPARSE_MAT( mat ))
CV_Error( cv::Error::StsBadArg, "Invalid sparse matrix header" );
if( !iterator )
CV_Error( cv::Error::StsNullPtr, "NULL iterator pointer" );
iterator->mat = (CvSparseMat*)mat;
iterator->node = 0;
for( idx = 0; idx < mat->hashsize; idx++ )
if( mat->hashtable[idx] )
{
node = iterator->node = (CvSparseNode*)mat->hashtable[idx];
break;
}
iterator->curidx = idx;
return node;
}
#define ICV_SPARSE_MAT_HASH_MULTIPLIER cv::SparseMat::HASH_SCALE
static uchar*
icvGetNodePtr( CvSparseMat* mat, const int* idx, int* _type,
int create_node, unsigned* precalc_hashval )
{
uchar* ptr = 0;
int i, tabidx;
unsigned hashval = 0;
CvSparseNode *node;
CV_Assert( CV_IS_SPARSE_MAT( mat ));
if( !precalc_hashval )
{
for( i = 0; i < mat->dims; i++ )
{
int t = idx[i];
if( (unsigned)t >= (unsigned)mat->size[i] )
CV_Error( cv::Error::StsOutOfRange, "One of indices is out of range" );
hashval = hashval*ICV_SPARSE_MAT_HASH_MULTIPLIER + t;
}
}
else
{
hashval = *precalc_hashval;
}
tabidx = hashval & (mat->hashsize - 1);
hashval &= INT_MAX;
if( create_node >= -1 )
{
for( node = (CvSparseNode*)mat->hashtable[tabidx];
node != 0; node = node->next )
{
if( node->hashval == hashval )
{
int* nodeidx = CV_NODE_IDX(mat,node);
for( i = 0; i < mat->dims; i++ )
if( idx[i] != nodeidx[i] )
break;
if( i == mat->dims )
{
ptr = (uchar*)CV_NODE_VAL(mat,node);
break;
}
}
}
}
if( !ptr && create_node )
{
if( mat->heap->active_count >= mat->hashsize*CV_SPARSE_HASH_RATIO )
{
void** newtable;
int newsize = MAX( mat->hashsize*2, CV_SPARSE_HASH_SIZE0);
int newrawsize = newsize*sizeof(newtable[0]);
CvSparseMatIterator iterator;
CV_Assert( (newsize & (newsize - 1)) == 0 );
// resize hash table
newtable = (void**)cvAlloc( newrawsize );
memset( newtable, 0, newrawsize );
node = cvInitSparseMatIterator( mat, &iterator );
while( node )
{
CvSparseNode* next = cvGetNextSparseNode( &iterator );
int newidx = node->hashval & (newsize - 1);
node->next = (CvSparseNode*)newtable[newidx];
newtable[newidx] = node;
node = next;
}
cvFree( &mat->hashtable );
mat->hashtable = newtable;
mat->hashsize = newsize;
tabidx = hashval & (newsize - 1);
}
node = (CvSparseNode*)cvSetNew( mat->heap );
node->hashval = hashval;
node->next = (CvSparseNode*)mat->hashtable[tabidx];
mat->hashtable[tabidx] = node;
memcpy(CV_NODE_IDX(mat,node), idx, mat->dims*sizeof(idx[0]));
ptr = (uchar*)CV_NODE_VAL(mat,node);
if( create_node > 0 )
memset( ptr, 0, CV_ELEM_SIZE(mat->type));
}
if( _type )
*_type = CV_MAT_TYPE(mat->type);
return ptr;
}
static void
icvDeleteNode( CvSparseMat* mat, const int* idx, unsigned* precalc_hashval )
{
int i, tabidx;
unsigned hashval = 0;
CvSparseNode *node, *prev = 0;
CV_Assert( CV_IS_SPARSE_MAT( mat ));
if( !precalc_hashval )
{
for( i = 0; i < mat->dims; i++ )
{
int t = idx[i];
if( (unsigned)t >= (unsigned)mat->size[i] )
CV_Error( cv::Error::StsOutOfRange, "One of indices is out of range" );
hashval = hashval*ICV_SPARSE_MAT_HASH_MULTIPLIER + t;
}
}
else
{
hashval = *precalc_hashval;
}
tabidx = hashval & (mat->hashsize - 1);
hashval &= INT_MAX;
for( node = (CvSparseNode*)mat->hashtable[tabidx];
node != 0; prev = node, node = node->next )
{
if( node->hashval == hashval )
{
int* nodeidx = CV_NODE_IDX(mat,node);
for( i = 0; i < mat->dims; i++ )
if( idx[i] != nodeidx[i] )
break;
if( i == mat->dims )
break;
}
}
if( node )
{
if( prev )
prev->next = node->next;
else
mat->hashtable[tabidx] = node->next;
cvSetRemoveByPtr( mat->heap, node );
}
}
/****************************************************************************************\
* Common for multiple array types operations *
\****************************************************************************************/
// Allocates underlying array data
CV_IMPL void
cvCreateData( CvArr* arr )
{
if( CV_IS_MAT_HDR_Z( arr ))
{
size_t step, total_size;
CvMat* mat = (CvMat*)arr;
step = mat->step;
if( mat->rows == 0 || mat->cols == 0 )
return;
if( mat->data.ptr != 0 )
CV_Error( cv::Error::StsError, "Data is already allocated" );
if( step == 0 )
step = CV_ELEM_SIZE(mat->type)*mat->cols;
int64 _total_size = (int64)step*mat->rows + sizeof(int) + CV_MALLOC_ALIGN;
total_size = (size_t)_total_size;
if(_total_size != (int64)total_size)
CV_Error(cv::Error::StsNoMem, "Too big buffer is allocated" );
mat->refcount = (int*)cvAlloc( (size_t)total_size );
mat->data.ptr = (uchar*)cvAlignPtr( mat->refcount + 1, CV_MALLOC_ALIGN );
*mat->refcount = 1;
}
else if( CV_IS_IMAGE_HDR(arr))
{
IplImage* img = (IplImage*)arr;
if( img->imageData != 0 )
CV_Error( cv::Error::StsError, "Data is already allocated" );
if( !CvIPL.allocateData )
{
const int64 imageSize_tmp = (int64)img->widthStep*(int64)img->height;
if( (int64)img->imageSize != imageSize_tmp )
CV_Error( cv::Error::StsNoMem, "Overflow for imageSize" );
img->imageData = img->imageDataOrigin =
(char*)cvAlloc( (size_t)img->imageSize );
}
else
{
int depth = img->depth;
int width = img->width;
if( img->depth == IPL_DEPTH_32F || img->depth == IPL_DEPTH_64F )
{
img->width *= img->depth == IPL_DEPTH_32F ? sizeof(float) : sizeof(double);
img->depth = IPL_DEPTH_8U;
}
CvIPL.allocateData( img, 0, 0 );
img->width = width;
img->depth = depth;
}
}
else if( CV_IS_MATND_HDR( arr ))
{
CvMatND* mat = (CvMatND*)arr;
size_t total_size = CV_ELEM_SIZE(mat->type);
if( mat->dim[0].size == 0 )
return;
if( mat->data.ptr != 0 )
CV_Error( cv::Error::StsError, "Data is already allocated" );
if( CV_IS_MAT_CONT( mat->type ))
{
total_size = (size_t)mat->dim[0].size*(mat->dim[0].step != 0 ?
(size_t)mat->dim[0].step : total_size);
}
else
{
int i;
for( i = mat->dims - 1; i >= 0; i-- )
{
size_t size = (size_t)mat->dim[i].step*mat->dim[i].size;
if( total_size < size )
total_size = size;
}
}
mat->refcount = (int*)cvAlloc( total_size +
sizeof(int) + CV_MALLOC_ALIGN );
mat->data.ptr = (uchar*)cvAlignPtr( mat->refcount + 1, CV_MALLOC_ALIGN );
*mat->refcount = 1;
}
else
CV_Error( cv::Error::StsBadArg, "unrecognized or unsupported array type" );
}
// Assigns external data to array
CV_IMPL void
cvSetData( CvArr* arr, void* data, int step )
{
int pix_size, min_step;
if( CV_IS_MAT_HDR(arr) || CV_IS_MATND_HDR(arr) )
cvReleaseData( arr );
if( CV_IS_MAT_HDR( arr ))
{
CvMat* mat = (CvMat*)arr;
int type = CV_MAT_TYPE(mat->type);
pix_size = CV_ELEM_SIZE(type);
min_step = mat->cols*pix_size;
if( step != CV_AUTOSTEP && step != 0 )
{
if( step < min_step && data != 0 )
CV_Error( cv::Error::BadStep, "" );
mat->step = step;
}
else
mat->step = min_step;
mat->data.ptr = (uchar*)data;
mat->type = CV_MAT_MAGIC_VAL | type |
(mat->rows == 1 || mat->step == min_step ? CV_MAT_CONT_FLAG : 0);
icvCheckHuge( mat );
}
else if( CV_IS_IMAGE_HDR( arr ))
{
IplImage* img = (IplImage*)arr;
pix_size = ((img->depth & 255) >> 3)*img->nChannels;
min_step = img->width*pix_size;
if( step != CV_AUTOSTEP && img->height > 1 )
{
if( step < min_step && data != 0 )
CV_Error( cv::Error::BadStep, "" );
img->widthStep = step;
}
else
{
img->widthStep = min_step;
}
const int64 imageSize_tmp = (int64)img->widthStep*(int64)img->height;
img->imageSize = (int)imageSize_tmp;
if( (int64)img->imageSize != imageSize_tmp )
CV_Error( cv::Error::StsNoMem, "Overflow for imageSize" );
img->imageData = img->imageDataOrigin = (char*)data;
if( (((int)(size_t)data | step) & 7) == 0 &&
cvAlign(img->width * pix_size, 8) == step )
img->align = 8;
else
img->align = 4;
}
else if( CV_IS_MATND_HDR( arr ))
{
CvMatND* mat = (CvMatND*)arr;
int i;
int64 cur_step;
if( step != CV_AUTOSTEP )
CV_Error( cv::Error::BadStep,
"For multidimensional array only CV_AUTOSTEP is allowed here" );
mat->data.ptr = (uchar*)data;
cur_step = CV_ELEM_SIZE(mat->type);
for( i = mat->dims - 1; i >= 0; i-- )
{
if( cur_step > INT_MAX )
CV_Error( cv::Error::StsOutOfRange, "The array is too big" );
mat->dim[i].step = (int)cur_step;
cur_step *= mat->dim[i].size;
}
}
else
CV_Error( cv::Error::StsBadArg, "unrecognized or unsupported array type" );
}
// Deallocates array's data
CV_IMPL void
cvReleaseData( CvArr* arr )
{
if( CV_IS_MAT_HDR( arr ) || CV_IS_MATND_HDR( arr ))
{
CvMat* mat = (CvMat*)arr;
cvDecRefData( mat );
}
else if( CV_IS_IMAGE_HDR( arr ))
{
IplImage* img = (IplImage*)arr;
if( !CvIPL.deallocate )
{
char* ptr = img->imageDataOrigin;
img->imageData = img->imageDataOrigin = 0;
cvFree( &ptr );
}
else
{
CvIPL.deallocate( img, IPL_IMAGE_DATA );
}