cvarray.cpp.svn-base
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SVN-BASE
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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 "_cv.h"
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 )
{
CV_FUNCNAME( "cvSetIPLAllocators" );
__BEGIN__;
if( !createHeader || !allocateData || !deallocate || !createROI || !cloneImage )
{
if( createHeader || allocateData || deallocate || createROI || cloneImage )
CV_ERROR( CV_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;
__END__;
}
/****************************************************************************************\
* CvMat creation and basic operations *
\****************************************************************************************/
// Creates CvMat and underlying data
CV_IMPL CvMat*
cvCreateMat( int height, int width, int type )
{
CvMat* arr = 0;
CV_FUNCNAME( "cvCreateMat" );
__BEGIN__;
CV_CALL( arr = cvCreateMatHeader( height, width, type ));
CV_CALL( cvCreateData( arr ));
__END__;
if( cvGetErrStatus() < 0 )
cvReleaseMat( &arr );
return arr;
}
CV_INLINE void icvCheckHuge( CvMat* arr );
CV_INLINE 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 )
{
CvMat* arr = 0;
CV_FUNCNAME( "cvCreateMatHeader" );
__BEGIN__;
int min_step;
type = CV_MAT_TYPE(type);
if( rows <= 0 || cols <= 0 )
CV_ERROR( CV_StsBadSize, "Non-positive width or height" );
min_step = icvPixSize[type]*cols;
if( min_step <= 0 )
CV_ERROR( CV_StsUnsupportedFormat, "Invalid matrix type" );
CV_CALL( arr = (CvMat*)cvAlloc( sizeof(*arr)));
arr->step = rows == 1 ? 0 : (min_step + CV_DEFAULT_ROW_ALIGN-1)
& -CV_DEFAULT_ROW_ALIGN;
arr->type = CV_MAT_MAGIC_VAL | type |
(arr->step == 0 || arr->step == min_step ? CV_MAT_CONT_FLAG : 0);
arr->rows = rows;
arr->cols = cols;
arr->data.ptr = 0;
arr->refcount = 0;
icvCheckHuge( arr );
__END__;
if( cvGetErrStatus() < 0 )
cvReleaseMat( &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 )
{
CV_FUNCNAME( "cvInitMatHeader" );
__BEGIN__;
int mask, pix_size, min_step;
if( !arr )
CV_ERROR_FROM_CODE( CV_StsNullPtr );
if( (unsigned)CV_MAT_DEPTH(type) > CV_DEPTH_MAX )
CV_ERROR_FROM_CODE( CV_BadNumChannels );
if( rows <= 0 || cols <= 0 )
CV_ERROR( CV_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;
mask = (arr->rows <= 1) - 1;
pix_size = icvPixSize[type];
min_step = arr->cols*pix_size & mask;
if( step != CV_AUTOSTEP && step != 0 )
{
if( step < min_step )
CV_ERROR_FROM_CODE( CV_BadStep );
arr->step = step & mask;
}
else
{
arr->step = min_step;
}
arr->type = CV_MAT_MAGIC_VAL | type |
(arr->step == min_step ? CV_MAT_CONT_FLAG : 0);
icvCheckHuge( arr );
__END__;
return arr;
}
// Deallocates the CvMat structure and underlying data
CV_IMPL void
cvReleaseMat( CvMat** array )
{
CV_FUNCNAME( "cvReleaseMat" );
__BEGIN__;
if( !array )
CV_ERROR_FROM_CODE( CV_HeaderIsNull );
if( *array )
{
CvMat* arr = *array;
if( !CV_IS_MAT_HDR(arr) && !CV_IS_MATND_HDR(arr) )
CV_ERROR_FROM_CODE( CV_StsBadFlag );
*array = 0;
cvDecRefData( arr );
cvFree( (void**)&arr );
}
__END__;
}
// Creates a copy of matrix
CV_IMPL CvMat*
cvCloneMat( const CvMat* src )
{
CvMat* dst = 0;
CV_FUNCNAME( "cvCloneMat" );
__BEGIN__;
if( !CV_IS_MAT_HDR( src ))
CV_ERROR( CV_StsBadArg, "Bad CvMat header" );
CV_CALL( dst = cvCreateMatHeader( src->rows, src->cols, src->type ));
if( src->data.ptr )
{
CV_CALL( cvCreateData( dst ));
CV_CALL( cvCopy( src, dst ));
}
__END__;
return dst;
}
/****************************************************************************************\
* CvMatND creation and basic operations *
\****************************************************************************************/
CvMatND*
cvInitMatNDHeader( CvMatND* mat, int dims, const int* sizes, int type, void* data )
{
CvMatND* result = 0;
CV_FUNCNAME( "cvInitMatNDHeader" );
__BEGIN__;
type = CV_MAT_TYPE(type);
int i;
int64 step = icvPixSize[type];
if( !mat )
CV_ERROR( CV_StsNullPtr, "NULL matrix header pointer" );
if( step == 0 )
CV_ERROR( CV_StsUnsupportedFormat, "invalid array data type" );
if( (unsigned)dims > CV_MAX_DIM )
CV_ERROR( CV_StsOutOfRange, "bad number of dimensions" );
if( !sizes )
CV_ERROR( CV_StsNullPtr, "NULL <sizes> pointer" );
for( i = dims - 1; i >= 0; i-- )
{
if( sizes[i] <= 0 )
CV_ERROR( CV_StsBadSize, "one of dimesion sizes is non-positive" );
mat->dim[i].size = sizes[i];
if( step > INT_MAX )
CV_ERROR( CV_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;
result = mat;
__END__;
if( cvGetErrStatus() < 0 && mat )
{
mat->type = 0;
mat->data.ptr = 0;
}
return result;
}
// Creates CvMatND and underlying data
CV_IMPL CvMatND*
cvCreateMatND( int dims, const int* sizes, int type )
{
CvMatND* arr = 0;
CV_FUNCNAME( "cvCreateMatND" );
__BEGIN__;
CV_CALL( arr = cvCreateMatNDHeader( dims, sizes, type ));
CV_CALL( cvCreateData( arr ));
__END__;
if( cvGetErrStatus() < 0 )
cvReleaseMatND( &arr );
return arr;
}
// Creates CvMatND header only
CV_IMPL CvMatND*
cvCreateMatNDHeader( int dims, const int* sizes, int type )
{
CvMatND* arr = 0;
CV_FUNCNAME( "cvCreateMatNDHeader" );
__BEGIN__;
CV_CALL( arr = (CvMatND*)cvAlloc( sizeof(*arr)));
CV_CALL( cvInitMatNDHeader( arr, dims, sizes, type ));
__END__;
if( cvGetErrStatus() < 0 )
cvReleaseMatND( &arr );
return arr;
}
// Creates a copy of nD array
CV_IMPL CvMatND*
cvCloneMatND( const CvMatND* src )
{
CvMatND* dst = 0;
CV_FUNCNAME( "cvCloneMatND" );
__BEGIN__;
int i, sizes[CV_MAX_DIM];
if( !CV_IS_MATND_HDR( src ))
CV_ERROR( CV_StsBadArg, "Bad CvMatND header" );
for( i = 0; i < src->dims; i++ )
sizes[i] = src->dim[i].size;
CV_CALL( dst = cvCreateMatNDHeader( src->dims, sizes, src->type ));
if( src->data.ptr )
{
CV_CALL( cvCreateData( dst ));
CV_CALL( cvCopy( src, dst ));
}
__END__;
return dst;
}
CV_IMPL CvMatND*
cvGetMatND( const CvArr* arr, CvMatND* matnd, int* coi )
{
CvMatND* result = 0;
CV_FUNCNAME( "cvGetMat" );
__BEGIN__;
if( coi )
*coi = 0;
if( !matnd || !arr )
CV_ERROR( CV_StsNullPtr, "NULL array pointer is passed" );
if( CV_IS_MATND_HDR(arr))
{
if( !((CvMatND*)arr)->data.ptr )
CV_ERROR( CV_StsNullPtr, "The matrix has NULL data pointer" );
result = (CvMatND*)arr;
}
else
{
CvMat stub, *mat = (CvMat*)arr;
if( CV_IS_IMAGE_HDR( mat ))
CV_CALL( mat = cvGetMat( mat, &stub, coi ));
if( !CV_IS_MAT_HDR( mat ))
CV_ERROR( CV_StsBadArg, "Unrecognized or unsupported array type" );
if( !mat->data.ptr )
CV_ERROR( CV_StsNullPtr, "Input array has NULL data pointer" );
matnd->data.ptr = mat->data.ptr;
matnd->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 = icvPixSize[CV_MAT_TYPE(mat->type)];
result = matnd;
}
__END__;
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).
Returns number of dimensions to iterate through
(0 means that all arrays are continuous (total number of elements
is returned, 1 means that all arrays are vectors of continuous arrays etc.)
and the size of largest common continuous part of the arrays
*/
int icvPrepareArrayOp( int count, CvArr** arrs,
const CvArr* mask, CvMatND* stubs,
CvMatNDIterator* iterator, int flags )
{
int dims = -1;
CV_FUNCNAME( "icvPrepareArrayOp" );
__BEGIN__;
int i, j, size, dim0 = -1;
int64 step;
CvMatND* hdr0 = 0;
if( count < 1 || count > CV_MAX_ARR )
CV_ERROR( CV_StsOutOfRange, "Incorrect number of arrays" );
if( !arrs || !stubs )
CV_ERROR( CV_StsNullPtr, "Some of required array pointers is NULL" );
if( !iterator )
CV_ERROR( CV_StsNullPtr, "Iterator pointer is NULL" );
for( i = 0; i <= count; i++ )
{
const CvArr* arr = i < count ? arrs[i] : mask;
CvMatND* hdr;
if( !arr )
{
if( i < count )
CV_ERROR( CV_StsNullPtr, "Some of required array pointers is NULL" );
break;
}
if( CV_IS_MATND( arr ))
hdr = (CvMatND*)arr;
else
{
int coi = 0;
CV_CALL( hdr = cvGetMatND( arr, stubs + i, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "COI set is not allowed here" );
}
iterator->hdr[i] = hdr;
if( i > 0 )
{
if( hdr->dims != hdr0->dims )
CV_ERROR( CV_StsUnmatchedSizes,
"Number of dimensions is the same for all arrays" );
if( i < count )
{
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