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/*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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, 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 materials provided with the distribution.
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//
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// * The name of Intel Corporation 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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/* ////////////////////////////////////////////////////////////////////
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//
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// CvMat, CvMatND, CvSparceMat and IplImage support functions
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// (creation, deletion, copying, retrieving and setting elements etc.)
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//
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// */
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#include "precomp.hpp"
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static struct
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{
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Cv_iplCreateImageHeader createHeader;
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Cv_iplAllocateImageData allocateData;
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Cv_iplDeallocate deallocate;
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Cv_iplCreateROI createROI;
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Cv_iplCloneImage cloneImage;
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}
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CvIPL;
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// Makes the library use native IPL image allocators
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CV_IMPL void
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cvSetIPLAllocators( Cv_iplCreateImageHeader createHeader,
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Cv_iplAllocateImageData allocateData,
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Cv_iplDeallocate deallocate,
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Cv_iplCreateROI createROI,
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Cv_iplCloneImage cloneImage )
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{
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int count = (createHeader != 0) + (allocateData != 0) + (deallocate != 0) +
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(createROI != 0) + (cloneImage != 0);
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if( count != 0 && count != 5 )
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CV_Error( CV_StsBadArg, "Either all the pointers should be null or "
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"they all should be non-null" );
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CvIPL.createHeader = createHeader;
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CvIPL.allocateData = allocateData;
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CvIPL.deallocate = deallocate;
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CvIPL.createROI = createROI;
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CvIPL.cloneImage = cloneImage;
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}
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/****************************************************************************************\
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* CvMat creation and basic operations *
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\****************************************************************************************/
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// Creates CvMat and underlying data
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CV_IMPL CvMat*
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cvCreateMat( int height, int width, int type )
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{
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CvMat* arr = cvCreateMatHeader( height, width, type );
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cvCreateData( arr );
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return arr;
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}
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static void icvCheckHuge( CvMat* arr )
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{
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if( (int64)arr->step*arr->rows > INT_MAX )
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arr->type &= ~CV_MAT_CONT_FLAG;
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}
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// Creates CvMat header only
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CV_IMPL CvMat*
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cvCreateMatHeader( int rows, int cols, int type )
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{
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type = CV_MAT_TYPE(type);
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if( rows < 0 || cols <= 0 )
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CV_Error( CV_StsBadSize, "Non-positive width or height" );
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int min_step = CV_ELEM_SIZE(type)*cols;
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if( min_step <= 0 )
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CV_Error( CV_StsUnsupportedFormat, "Invalid matrix type" );
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CvMat* arr = (CvMat*)cvAlloc( sizeof(*arr));
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arr->step = min_step;
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arr->type = CV_MAT_MAGIC_VAL | type | CV_MAT_CONT_FLAG;
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arr->rows = rows;
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arr->cols = cols;
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arr->data.ptr = 0;
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arr->refcount = 0;
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arr->hdr_refcount = 1;
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icvCheckHuge( arr );
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return arr;
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}
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// Initializes CvMat header, allocated by the user
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CV_IMPL CvMat*
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cvInitMatHeader( CvMat* arr, int rows, int cols,
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int type, void* data, int step )
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{
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if( !arr )
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CV_Error( CV_StsNullPtr, "" );
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if( (unsigned)CV_MAT_DEPTH(type) > CV_DEPTH_MAX )
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CV_Error( CV_BadNumChannels, "" );
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if( rows < 0 || cols <= 0 )
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CV_Error( CV_StsBadSize, "Non-positive cols or rows" );
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type = CV_MAT_TYPE( type );
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arr->type = type | CV_MAT_MAGIC_VAL;
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arr->rows = rows;
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arr->cols = cols;
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arr->data.ptr = (uchar*)data;
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arr->refcount = 0;
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arr->hdr_refcount = 0;
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int pix_size = CV_ELEM_SIZE(type);
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int min_step = arr->cols*pix_size;
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if( step != CV_AUTOSTEP && step != 0 )
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{
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if( step < min_step )
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CV_Error( CV_BadStep, "" );
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arr->step = step;
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}
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else
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{
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arr->step = min_step;
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}
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arr->type = CV_MAT_MAGIC_VAL | type |
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(arr->rows == 1 || arr->step == min_step ? CV_MAT_CONT_FLAG : 0);
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icvCheckHuge( arr );
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return arr;
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}
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// Deallocates the CvMat structure and underlying data
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CV_IMPL void
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cvReleaseMat( CvMat** array )
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{
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if( !array )
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CV_Error( CV_HeaderIsNull, "" );
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if( *array )
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{
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CvMat* arr = *array;
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if( !CV_IS_MAT_HDR_Z(arr) && !CV_IS_MATND_HDR(arr) )
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CV_Error( CV_StsBadFlag, "" );
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*array = 0;
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cvDecRefData( arr );
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cvFree( &arr );
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}
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}
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// Creates a copy of matrix
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CV_IMPL CvMat*
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cvCloneMat( const CvMat* src )
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{
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if( !CV_IS_MAT_HDR( src ))
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CV_Error( CV_StsBadArg, "Bad CvMat header" );
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CvMat* dst = cvCreateMatHeader( src->rows, src->cols, src->type );
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if( src->data.ptr )
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{
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cvCreateData( dst );
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cvCopy( src, dst );
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}
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return dst;
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}
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/****************************************************************************************\
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* CvMatND creation and basic operations *
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\****************************************************************************************/
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CV_IMPL CvMatND*
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cvInitMatNDHeader( CvMatND* mat, int dims, const int* sizes,
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int type, void* data )
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{
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type = CV_MAT_TYPE(type);
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int64 step = CV_ELEM_SIZE(type);
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if( !mat )
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CV_Error( CV_StsNullPtr, "NULL matrix header pointer" );
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if( step == 0 )
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CV_Error( CV_StsUnsupportedFormat, "invalid array data type" );
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if( !sizes )
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CV_Error( CV_StsNullPtr, "NULL <sizes> pointer" );
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if( dims <= 0 || dims > CV_MAX_DIM )
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CV_Error( CV_StsOutOfRange,
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"non-positive or too large number of dimensions" );
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for( int i = dims - 1; i >= 0; i-- )
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{
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if( sizes[i] < 0 )
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CV_Error( CV_StsBadSize, "one of dimesion sizes is non-positive" );
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mat->dim[i].size = sizes[i];
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if( step > INT_MAX )
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CV_Error( CV_StsOutOfRange, "The array is too big" );
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mat->dim[i].step = (int)step;
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step *= sizes[i];
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}
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mat->type = CV_MATND_MAGIC_VAL | (step <= INT_MAX ? CV_MAT_CONT_FLAG : 0) | type;
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mat->dims = dims;
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mat->data.ptr = (uchar*)data;
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mat->refcount = 0;
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mat->hdr_refcount = 0;
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return mat;
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}
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// Creates CvMatND and underlying data
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CV_IMPL CvMatND*
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cvCreateMatND( int dims, const int* sizes, int type )
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{
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CvMatND* arr = cvCreateMatNDHeader( dims, sizes, type );
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cvCreateData( arr );
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return arr;
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}
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// Creates CvMatND header only
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CV_IMPL CvMatND*
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cvCreateMatNDHeader( int dims, const int* sizes, int type )
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{
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if( dims <= 0 || dims > CV_MAX_DIM )
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CV_Error( CV_StsOutOfRange,
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"non-positive or too large number of dimensions" );
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CvMatND* arr = (CvMatND*)cvAlloc( sizeof(*arr) );
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cvInitMatNDHeader( arr, dims, sizes, type, 0 );
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arr->hdr_refcount = 1;
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return arr;
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}
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// Creates a copy of nD array
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CV_IMPL CvMatND*
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cvCloneMatND( const CvMatND* src )
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{
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if( !CV_IS_MATND_HDR( src ))
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CV_Error( CV_StsBadArg, "Bad CvMatND header" );
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int* sizes = (int*)cvStackAlloc( src->dims*sizeof(sizes[0]) );
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for( int i = 0; i < src->dims; i++ )
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sizes[i] = src->dim[i].size;
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CvMatND* dst = cvCreateMatNDHeader( src->dims, sizes, src->type );
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if( src->data.ptr )
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{
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cvCreateData( dst );
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cv::Mat _src(src), _dst(dst);
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uchar* data0 = dst->data.ptr;
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_src.copyTo(_dst);
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CV_Assert(_dst.data == data0);
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//cvCopy( src, dst );
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}
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return dst;
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}
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static CvMatND*
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cvGetMatND( const CvArr* arr, CvMatND* matnd, int* coi )
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{
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CvMatND* result = 0;
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if( coi )
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*coi = 0;
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if( !matnd || !arr )
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CV_Error( CV_StsNullPtr, "NULL array pointer is passed" );
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if( CV_IS_MATND_HDR(arr))
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{
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if( !((CvMatND*)arr)->data.ptr )
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CV_Error( CV_StsNullPtr, "The matrix has NULL data pointer" );
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result = (CvMatND*)arr;
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}
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|
else
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|
|
{
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|
CvMat stub, *mat = (CvMat*)arr;
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if( CV_IS_IMAGE_HDR( mat ))
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mat = cvGetMat( mat, &stub, coi );
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if( !CV_IS_MAT_HDR( mat ))
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CV_Error( CV_StsBadArg, "Unrecognized or unsupported array type" );
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|
if( !mat->data.ptr )
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CV_Error( CV_StsNullPtr, "Input array has NULL data pointer" );
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|
matnd->data.ptr = mat->data.ptr;
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matnd->refcount = 0;
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matnd->hdr_refcount = 0;
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|
matnd->type = mat->type;
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|
|
matnd->dims = 2;
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|
matnd->dim[0].size = mat->rows;
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matnd->dim[0].step = mat->step;
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matnd->dim[1].size = mat->cols;
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matnd->dim[1].step = CV_ELEM_SIZE(mat->type);
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result = matnd;
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}
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return result;
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}
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|
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|
// returns number of dimensions to iterate.
|
|
|
|
/*
|
|
|
|
Checks whether <count> arrays have equal type, sizes (mask is optional array
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|
|
|
that needs to have the same size, but 8uC1 or 8sC1 type).
|
|
|
|
Returns number of dimensions to iterate through:
|
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|
|
0 means that all arrays are continuous,
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|
|
1 means that all arrays are vectors of continuous arrays etc.
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|
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_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;
|
|
|
|
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 )
|
|
|
|
{
|
|
|
|
switch( flags & (CV_NO_DEPTH_CHECK|CV_NO_CN_CHECK))
|
|
|
|
{
|
|
|
|
case 0:
|
|
|
|
if( !CV_ARE_TYPES_EQ( hdr, hdr0 ))
|
|
|
|
CV_Error( CV_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_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_StsUnmatchedFormats,
|
|
|
|
"Depth is not the same for all arrays" );
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
if( !CV_IS_MASK_ARR( hdr ))
|
|
|
|
CV_Error( CV_StsBadMask, "Mask should have 8uC1 or 8sC1 data type" );
|
|
|
|
}
|
|
|
|
|
|
|
|
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_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 )
|
|
|
|
{
|
|
|
|
assert( iterator != 0 );
|
|
|
|
int i, dims, size = 0;
|
|
|
|
|
|
|
|
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;
|
|
|
|
|
|
|
|
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_StsUnsupportedFormat, "invalid array data type" );
|
|
|
|
|
|
|
|
if( dims <= 0 || dims > CV_MAX_DIM_HEAP )
|
|
|
|
CV_Error( CV_StsOutOfRange, "bad number of dimensions" );
|
|
|
|
|
|
|
|
if( !sizes )
|
|
|
|
CV_Error( CV_StsNullPtr, "NULL <sizes> pointer" );
|
|
|
|
|
|
|
|
for( i = 0; i < dims; i++ )
|
|
|
|
{
|
|
|
|
if( sizes[i] <= 0 )
|
|
|
|
CV_Error( CV_StsBadSize, "one of dimesion 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_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_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_StsBadArg, "Invalid sparse matrix header" );
|
|
|
|
|
|
|
|
if( !iterator )
|
|
|
|
CV_Error( CV_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;
|
|
|
|
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_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;
|
|
|
|
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;
|
|
|
|
CV_MEMCPY_INT( CV_NODE_IDX(mat,node), idx, mat->dims );
|
|
|
|
ptr = (uchar*)CV_NODE_VAL(mat,node);
|
|
|
|
if( create_node > 0 )
|
|
|
|
CV_ZERO_CHAR( ptr, 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;
|
|
|
|
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_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_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_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_StsError, "Data is already allocated" );
|
|
|
|
|
|
|
|
if( !CvIPL.allocateData )
|
|
|
|
{
|
|
|
|
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;
|
|
|
|
int i;
|
|
|
|
size_t total_size = CV_ELEM_SIZE(mat->type);
|
|
|
|
|
|
|
|
if( mat->dim[0].size == 0 )
|
|
|
|
return;
|
|
|
|
|
|
|
|
if( mat->data.ptr != 0 )
|
|
|
|
CV_Error( CV_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 ?
|
|
|
|
mat->dim[0].step : total_size);
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
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_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_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_BadStep, "" );
|
|
|
|
img->widthStep = step;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
img->widthStep = min_step;
|
|
|
|
}
|
|
|
|
|
|
|
|
img->imageSize = img->widthStep * img->height;
|
|
|
|
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_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_StsOutOfRange, "The array is too big" );
|
|
|
|
mat->dim[i].step = (int)cur_step;
|
|
|
|
cur_step *= mat->dim[i].size;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_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 );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Retrieves essential information about image ROI or CvMat data
|
|
|
|
CV_IMPL void
|
|
|
|
cvGetRawData( const CvArr* arr, uchar** data, int* step, CvSize* roi_size )
|
|
|
|
{
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat *mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( step )
|
|
|
|
*step = mat->step;
|
|
|
|
|
|
|
|
if( data )
|
|
|
|
*data = mat->data.ptr;
|
|
|
|
|
|
|
|
if( roi_size )
|
|
|
|
*roi_size = cvGetMatSize( mat );
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE( arr ))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
|
|
|
|
if( step )
|
|
|
|
*step = img->widthStep;
|
|
|
|
|
|
|
|
if( data )
|
|
|
|
*data = cvPtr2D( img, 0, 0 );
|
|
|
|
|
|
|
|
if( roi_size )
|
|
|
|
{
|
|
|
|
if( img->roi )
|
|
|
|
{
|
|
|
|
*roi_size = cvSize( img->roi->width, img->roi->height );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
*roi_size = cvSize( img->width, img->height );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_MATND( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT_CONT( mat->type ))
|
|
|
|
CV_Error( CV_StsBadArg, "Only continuous nD arrays are supported here" );
|
|
|
|
|
|
|
|
if( data )
|
|
|
|
*data = mat->data.ptr;
|
|
|
|
|
|
|
|
if( roi_size || step )
|
|
|
|
{
|
|
|
|
int i, size1 = mat->dim[0].size, size2 = 1;
|
|
|
|
|
|
|
|
if( mat->dims > 2 )
|
|
|
|
for( i = 1; i < mat->dims; i++ )
|
|
|
|
size1 *= mat->dim[i].size;
|
|
|
|
else
|
|
|
|
size2 = mat->dim[1].size;
|
|
|
|
|
|
|
|
if( roi_size )
|
|
|
|
{
|
|
|
|
roi_size->width = size2;
|
|
|
|
roi_size->height = size1;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( step )
|
|
|
|
*step = mat->dim[0].step;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL int
|
|
|
|
cvGetElemType( const CvArr* arr )
|
|
|
|
{
|
|
|
|
int type = -1;
|
|
|
|
if( CV_IS_MAT_HDR(arr) || CV_IS_MATND_HDR(arr) || CV_IS_SPARSE_MAT_HDR(arr))
|
|
|
|
type = CV_MAT_TYPE( ((CvMat*)arr)->type );
|
|
|
|
else if( CV_IS_IMAGE(arr))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
type = CV_MAKETYPE( IPL2CV_DEPTH(img->depth), img->nChannels );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
|
|
|
|
return type;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns a number of array dimensions
|
|
|
|
CV_IMPL int
|
|
|
|
cvGetDims( const CvArr* arr, int* sizes )
|
|
|
|
{
|
|
|
|
int dims = -1;
|
|
|
|
if( CV_IS_MAT_HDR( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
dims = 2;
|
|
|
|
if( sizes )
|
|
|
|
{
|
|
|
|
sizes[0] = mat->rows;
|
|
|
|
sizes[1] = mat->cols;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE( arr ))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
dims = 2;
|
|
|
|
|
|
|
|
if( sizes )
|
|
|
|
{
|
|
|
|
sizes[0] = img->height;
|
|
|
|
sizes[1] = img->width;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_MATND_HDR( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
dims = mat->dims;
|
|
|
|
|
|
|
|
if( sizes )
|
|
|
|
{
|
|
|
|
int i;
|
|
|
|
for( i = 0; i < dims; i++ )
|
|
|
|
sizes[i] = mat->dim[i].size;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_SPARSE_MAT_HDR( arr ))
|
|
|
|
{
|
|
|
|
CvSparseMat* mat = (CvSparseMat*)arr;
|
|
|
|
dims = mat->dims;
|
|
|
|
|
|
|
|
if( sizes )
|
|
|
|
memcpy( sizes, mat->size, dims*sizeof(sizes[0]));
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
|
|
|
|
return dims;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns the size of particular array dimension
|
|
|
|
CV_IMPL int
|
|
|
|
cvGetDimSize( const CvArr* arr, int index )
|
|
|
|
{
|
|
|
|
int size = -1;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat *mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
switch( index )
|
|
|
|
{
|
|
|
|
case 0:
|
|
|
|
size = mat->rows;
|
|
|
|
break;
|
|
|
|
case 1:
|
|
|
|
size = mat->cols;
|
|
|
|
break;
|
|
|
|
default:
|
|
|
|
CV_Error( CV_StsOutOfRange, "bad dimension index" );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE( arr ))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
|
|
|
|
switch( index )
|
|
|
|
{
|
|
|
|
case 0:
|
|
|
|
size = !img->roi ? img->height : img->roi->height;
|
|
|
|
break;
|
|
|
|
case 1:
|
|
|
|
size = !img->roi ? img->width : img->roi->width;
|
|
|
|
break;
|
|
|
|
default:
|
|
|
|
CV_Error( CV_StsOutOfRange, "bad dimension index" );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_MATND_HDR( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
|
|
|
|
if( (unsigned)index >= (unsigned)mat->dims )
|
|
|
|
CV_Error( CV_StsOutOfRange, "bad dimension index" );
|
|
|
|
|
|
|
|
size = mat->dim[index].size;
|
|
|
|
}
|
|
|
|
else if( CV_IS_SPARSE_MAT_HDR( arr ))
|
|
|
|
{
|
|
|
|
CvSparseMat* mat = (CvSparseMat*)arr;
|
|
|
|
|
|
|
|
if( (unsigned)index >= (unsigned)mat->dims )
|
|
|
|
CV_Error( CV_StsOutOfRange, "bad dimension index" );
|
|
|
|
|
|
|
|
size = mat->size[index];
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
|
|
|
|
return size;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns the size of CvMat or IplImage
|
|
|
|
CV_IMPL CvSize
|
|
|
|
cvGetSize( const CvArr* arr )
|
|
|
|
{
|
|
|
|
CvSize size = { 0, 0 };
|
|
|
|
|
|
|
|
if( CV_IS_MAT_HDR_Z( arr ))
|
|
|
|
{
|
|
|
|
CvMat *mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
size.width = mat->cols;
|
|
|
|
size.height = mat->rows;
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE_HDR( arr ))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
|
|
|
|
if( img->roi )
|
|
|
|
{
|
|
|
|
size.width = img->roi->width;
|
|
|
|
size.height = img->roi->height;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
size.width = img->width;
|
|
|
|
size.height = img->height;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "Array should be CvMat or IplImage" );
|
|
|
|
|
|
|
|
return size;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Selects sub-array (no data is copied)
|
|
|
|
CV_IMPL CvMat*
|
|
|
|
cvGetSubRect( const CvArr* arr, CvMat* submat, CvRect rect )
|
|
|
|
{
|
|
|
|
CvMat* res = 0;
|
|
|
|
CvMat stub, *mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT( mat ))
|
|
|
|
mat = cvGetMat( mat, &stub );
|
|
|
|
|
|
|
|
if( !submat )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
if( (rect.x|rect.y|rect.width|rect.height) < 0 )
|
|
|
|
CV_Error( CV_StsBadSize, "" );
|
|
|
|
|
|
|
|
if( rect.x + rect.width > mat->cols ||
|
|
|
|
rect.y + rect.height > mat->rows )
|
|
|
|
CV_Error( CV_StsBadSize, "" );
|
|
|
|
|
|
|
|
{
|
|
|
|
/*
|
|
|
|
int* refcount = mat->refcount;
|
|
|
|
|
|
|
|
if( refcount )
|
|
|
|
++*refcount;
|
|
|
|
|
|
|
|
cvDecRefData( submat );
|
|
|
|
*/
|
|
|
|
submat->data.ptr = mat->data.ptr + (size_t)rect.y*mat->step +
|
|
|
|
rect.x*CV_ELEM_SIZE(mat->type);
|
|
|
|
submat->step = mat->step;
|
|
|
|
submat->type = (mat->type & (rect.width < mat->cols ? ~CV_MAT_CONT_FLAG : -1)) |
|
|
|
|
(rect.height <= 1 ? CV_MAT_CONT_FLAG : 0);
|
|
|
|
submat->rows = rect.height;
|
|
|
|
submat->cols = rect.width;
|
|
|
|
submat->refcount = 0;
|
|
|
|
res = submat;
|
|
|
|
}
|
|
|
|
|
|
|
|
return res;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Selects array's row span.
|
|
|
|
CV_IMPL CvMat*
|
|
|
|
cvGetRows( const CvArr* arr, CvMat* submat,
|
|
|
|
int start_row, int end_row, int delta_row )
|
|
|
|
{
|
|
|
|
CvMat* res = 0;
|
|
|
|
CvMat stub, *mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT( mat ))
|
|
|
|
mat = cvGetMat( mat, &stub );
|
|
|
|
|
|
|
|
if( !submat )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
if( (unsigned)start_row >= (unsigned)mat->rows ||
|
|
|
|
(unsigned)end_row > (unsigned)mat->rows || delta_row <= 0 )
|
|
|
|
CV_Error( CV_StsOutOfRange, "" );
|
|
|
|
|
|
|
|
{
|
|
|
|
/*
|
|
|
|
int* refcount = mat->refcount;
|
|
|
|
|
|
|
|
if( refcount )
|
|
|
|
++*refcount;
|
|
|
|
|
|
|
|
cvDecRefData( submat );
|
|
|
|
*/
|
|
|
|
if( delta_row == 1 )
|
|
|
|
{
|
|
|
|
submat->rows = end_row - start_row;
|
|
|
|
submat->step = mat->step;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
submat->rows = (end_row - start_row + delta_row - 1)/delta_row;
|
|
|
|
submat->step = mat->step * delta_row;
|
|
|
|
}
|
|
|
|
|
|
|
|
submat->cols = mat->cols;
|
|
|
|
submat->step &= submat->rows > 1 ? -1 : 0;
|
|
|
|
submat->data.ptr = mat->data.ptr + (size_t)start_row*mat->step;
|
|
|
|
submat->type = (mat->type | (submat->rows == 1 ? CV_MAT_CONT_FLAG : 0)) &
|
|
|
|
(delta_row != 1 && submat->rows > 1 ? ~CV_MAT_CONT_FLAG : -1);
|
|
|
|
submat->refcount = 0;
|
|
|
|
submat->hdr_refcount = 0;
|
|
|
|
res = submat;
|
|
|
|
}
|
|
|
|
|
|
|
|
return res;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Selects array's column span.
|
|
|
|
CV_IMPL CvMat*
|
|
|
|
cvGetCols( const CvArr* arr, CvMat* submat, int start_col, int end_col )
|
|
|
|
{
|
|
|
|
CvMat* res = 0;
|
|
|
|
CvMat stub, *mat = (CvMat*)arr;
|
|
|
|
int cols;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT( mat ))
|
|
|
|
mat = cvGetMat( mat, &stub );
|
|
|
|
|
|
|
|
if( !submat )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
cols = mat->cols;
|
|
|
|
if( (unsigned)start_col >= (unsigned)cols ||
|
|
|
|
(unsigned)end_col > (unsigned)cols )
|
|
|
|
CV_Error( CV_StsOutOfRange, "" );
|
|
|
|
|
|
|
|
{
|
|
|
|
/*
|
|
|
|
int* refcount = mat->refcount;
|
|
|
|
|
|
|
|
if( refcount )
|
|
|
|
++*refcount;
|
|
|
|
|
|
|
|
cvDecRefData( submat );
|
|
|
|
*/
|
|
|
|
submat->rows = mat->rows;
|
|
|
|
submat->cols = end_col - start_col;
|
|
|
|
submat->step = mat->step;
|
|
|
|
submat->data.ptr = mat->data.ptr + (size_t)start_col*CV_ELEM_SIZE(mat->type);
|
|
|
|
submat->type = mat->type & (submat->rows > 1 && submat->cols < cols ? ~CV_MAT_CONT_FLAG : -1);
|
|
|
|
submat->refcount = 0;
|
|
|
|
submat->hdr_refcount = 0;
|
|
|
|
res = submat;
|
|
|
|
}
|
|
|
|
|
|
|
|
return res;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Selects array diagonal
|
|
|
|
CV_IMPL CvMat*
|
|
|
|
cvGetDiag( const CvArr* arr, CvMat* submat, int diag )
|
|
|
|
{
|
|
|
|
CvMat* res = 0;
|
|
|
|
CvMat stub, *mat = (CvMat*)arr;
|
|
|
|
int len, pix_size;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT( mat ))
|
|
|
|
mat = cvGetMat( mat, &stub );
|
|
|
|
|
|
|
|
if( !submat )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
pix_size = CV_ELEM_SIZE(mat->type);
|
|
|
|
|
|
|
|
/*{
|
|
|
|
int* refcount = mat->refcount;
|
|
|
|
|
|
|
|
if( refcount )
|
|
|
|
++*refcount;
|
|
|
|
|
|
|
|
cvDecRefData( submat );
|
|
|
|
}*/
|
|
|
|
|
|
|
|
if( diag >= 0 )
|
|
|
|
{
|
|
|
|
len = mat->cols - diag;
|
|
|
|
|
|
|
|
if( len <= 0 )
|
|
|
|
CV_Error( CV_StsOutOfRange, "" );
|
|
|
|
|
|
|
|
len = CV_IMIN( len, mat->rows );
|
|
|
|
submat->data.ptr = mat->data.ptr + diag*pix_size;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
len = mat->rows + diag;
|
|
|
|
|
|
|
|
if( len <= 0 )
|
|
|
|
CV_Error( CV_StsOutOfRange, "" );
|
|
|
|
|
|
|
|
len = CV_IMIN( len, mat->cols );
|
|
|
|
submat->data.ptr = mat->data.ptr - diag*mat->step;
|
|
|
|
}
|
|
|
|
|
|
|
|
submat->rows = len;
|
|
|
|
submat->cols = 1;
|
|
|
|
submat->step = mat->step + (submat->rows > 1 ? pix_size : 0);
|
|
|
|
submat->type = mat->type;
|
|
|
|
if( submat->rows > 1 )
|
|
|
|
submat->type &= ~CV_MAT_CONT_FLAG;
|
|
|
|
else
|
|
|
|
submat->type |= CV_MAT_CONT_FLAG;
|
|
|
|
submat->refcount = 0;
|
|
|
|
submat->hdr_refcount = 0;
|
|
|
|
res = submat;
|
|
|
|
|
|
|
|
return res;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/****************************************************************************************\
|
|
|
|
* Operations on CvScalar and accessing array elements *
|
|
|
|
\****************************************************************************************/
|
|
|
|
|
|
|
|
// Converts CvScalar to specified type
|
|
|
|
CV_IMPL void
|
|
|
|
cvScalarToRawData( const CvScalar* scalar, void* data, int type, int extend_to_12 )
|
|
|
|
{
|
|
|
|
type = CV_MAT_TYPE(type);
|
|
|
|
int cn = CV_MAT_CN( type );
|
|
|
|
int depth = type & CV_MAT_DEPTH_MASK;
|
|
|
|
|
|
|
|
assert( scalar && data );
|
|
|
|
if( (unsigned)(cn - 1) >= 4 )
|
|
|
|
CV_Error( CV_StsOutOfRange, "The number of channels must be 1, 2, 3 or 4" );
|
|
|
|
|
|
|
|
switch( depth )
|
|
|
|
{
|
|
|
|
case CV_8UC1:
|
|
|
|
while( cn-- )
|
|
|
|
{
|
|
|
|
int t = cvRound( scalar->val[cn] );
|
|
|
|
((uchar*)data)[cn] = CV_CAST_8U(t);
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
case CV_8SC1:
|
|
|
|
while( cn-- )
|
|
|
|
{
|
|
|
|
int t = cvRound( scalar->val[cn] );
|
|
|
|
((char*)data)[cn] = CV_CAST_8S(t);
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
case CV_16UC1:
|
|
|
|
while( cn-- )
|
|
|
|
{
|
|
|
|
int t = cvRound( scalar->val[cn] );
|
|
|
|
((ushort*)data)[cn] = CV_CAST_16U(t);
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
case CV_16SC1:
|
|
|
|
while( cn-- )
|
|
|
|
{
|
|
|
|
int t = cvRound( scalar->val[cn] );
|
|
|
|
((short*)data)[cn] = CV_CAST_16S(t);
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
case CV_32SC1:
|
|
|
|
while( cn-- )
|
|
|
|
((int*)data)[cn] = cvRound( scalar->val[cn] );
|
|
|
|
break;
|
|
|
|
case CV_32FC1:
|
|
|
|
while( cn-- )
|
|
|
|
((float*)data)[cn] = (float)(scalar->val[cn]);
|
|
|
|
break;
|
|
|
|
case CV_64FC1:
|
|
|
|
while( cn-- )
|
|
|
|
((double*)data)[cn] = (double)(scalar->val[cn]);
|
|
|
|
break;
|
|
|
|
default:
|
|
|
|
assert(0);
|
|
|
|
CV_Error( CV_BadDepth, "" );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( extend_to_12 )
|
|
|
|
{
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
int offset = CV_ELEM_SIZE1(depth)*12;
|
|
|
|
|
|
|
|
do
|
|
|
|
{
|
|
|
|
offset -= pix_size;
|
|
|
|
CV_MEMCPY_AUTO( (char*)data + offset, data, pix_size );
|
|
|
|
}
|
|
|
|
while( offset > pix_size );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Converts data of specified type to CvScalar
|
|
|
|
CV_IMPL void
|
|
|
|
cvRawDataToScalar( const void* data, int flags, CvScalar* scalar )
|
|
|
|
{
|
|
|
|
int cn = CV_MAT_CN( flags );
|
|
|
|
|
|
|
|
assert( scalar && data );
|
|
|
|
|
|
|
|
if( (unsigned)(cn - 1) >= 4 )
|
|
|
|
CV_Error( CV_StsOutOfRange, "The number of channels must be 1, 2, 3 or 4" );
|
|
|
|
|
|
|
|
memset( scalar->val, 0, sizeof(scalar->val));
|
|
|
|
|
|
|
|
switch( CV_MAT_DEPTH( flags ))
|
|
|
|
{
|
|
|
|
case CV_8U:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = CV_8TO32F(((uchar*)data)[cn]);
|
|
|
|
break;
|
|
|
|
case CV_8S:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = CV_8TO32F(((char*)data)[cn]);
|
|
|
|
break;
|
|
|
|
case CV_16U:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = ((ushort*)data)[cn];
|
|
|
|
break;
|
|
|
|
case CV_16S:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = ((short*)data)[cn];
|
|
|
|
break;
|
|
|
|
case CV_32S:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = ((int*)data)[cn];
|
|
|
|
break;
|
|
|
|
case CV_32F:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = ((float*)data)[cn];
|
|
|
|
break;
|
|
|
|
case CV_64F:
|
|
|
|
while( cn-- )
|
|
|
|
scalar->val[cn] = ((double*)data)[cn];
|
|
|
|
break;
|
|
|
|
default:
|
|
|
|
assert(0);
|
|
|
|
CV_Error( CV_BadDepth, "" );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
static double icvGetReal( const void* data, int type )
|
|
|
|
{
|
|
|
|
switch( type )
|
|
|
|
{
|
|
|
|
case CV_8U:
|
|
|
|
return *(uchar*)data;
|
|
|
|
case CV_8S:
|
|
|
|
return *(char*)data;
|
|
|
|
case CV_16U:
|
|
|
|
return *(ushort*)data;
|
|
|
|
case CV_16S:
|
|
|
|
return *(short*)data;
|
|
|
|
case CV_32S:
|
|
|
|
return *(int*)data;
|
|
|
|
case CV_32F:
|
|
|
|
return *(float*)data;
|
|
|
|
case CV_64F:
|
|
|
|
return *(double*)data;
|
|
|
|
}
|
|
|
|
|
|
|
|
return 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
static void icvSetReal( double value, const void* data, int type )
|
|
|
|
{
|
|
|
|
if( type < CV_32F )
|
|
|
|
{
|
|
|
|
int ivalue = cvRound(value);
|
|
|
|
switch( type )
|
|
|
|
{
|
|
|
|
case CV_8U:
|
|
|
|
*(uchar*)data = CV_CAST_8U(ivalue);
|
|
|
|
break;
|
|
|
|
case CV_8S:
|
|
|
|
*(char*)data = CV_CAST_8S(ivalue);
|
|
|
|
break;
|
|
|
|
case CV_16U:
|
|
|
|
*(ushort*)data = CV_CAST_16U(ivalue);
|
|
|
|
break;
|
|
|
|
case CV_16S:
|
|
|
|
*(short*)data = CV_CAST_16S(ivalue);
|
|
|
|
break;
|
|
|
|
case CV_32S:
|
|
|
|
*(int*)data = CV_CAST_32S(ivalue);
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
switch( type )
|
|
|
|
{
|
|
|
|
case CV_32F:
|
|
|
|
*(float*)data = (float)value;
|
|
|
|
break;
|
|
|
|
case CV_64F:
|
|
|
|
*(double*)data = value;
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns pointer to specified element of array (linear index is used)
|
|
|
|
CV_IMPL uchar*
|
|
|
|
cvPtr1D( const CvArr* arr, int idx, int* _type )
|
|
|
|
{
|
|
|
|
uchar* ptr = 0;
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
int type = CV_MAT_TYPE(mat->type);
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
|
|
|
|
if( _type )
|
|
|
|
*_type = type;
|
|
|
|
|
|
|
|
// the first part is mul-free sufficient check
|
|
|
|
// that the index is within the matrix
|
|
|
|
if( (unsigned)idx >= (unsigned)(mat->rows + mat->cols - 1) &&
|
|
|
|
(unsigned)idx >= (unsigned)(mat->rows*mat->cols))
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
if( CV_IS_MAT_CONT(mat->type))
|
|
|
|
{
|
|
|
|
ptr = mat->data.ptr + (size_t)idx*pix_size;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int row, col;
|
|
|
|
if( mat->cols == 1 )
|
|
|
|
row = idx, col = 0;
|
|
|
|
else
|
|
|
|
row = idx/mat->cols, col = idx - row*mat->cols;
|
|
|
|
ptr = mat->data.ptr + (size_t)row*mat->step + col*pix_size;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE_HDR( arr ))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
int width = !img->roi ? img->width : img->roi->width;
|
|
|
|
int y = idx/width, x = idx - y*width;
|
|
|
|
|
|
|
|
ptr = cvPtr2D( arr, y, x, _type );
|
|
|
|
}
|
|
|
|
else if( CV_IS_MATND( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
int j, type = CV_MAT_TYPE(mat->type);
|
|
|
|
size_t size = mat->dim[0].size;
|
|
|
|
|
|
|
|
if( _type )
|
|
|
|
*_type = type;
|
|
|
|
|
|
|
|
for( j = 1; j < mat->dims; j++ )
|
|
|
|
size *= mat->dim[j].size;
|
|
|
|
|
|
|
|
if((unsigned)idx >= (unsigned)size )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
if( CV_IS_MAT_CONT(mat->type))
|
|
|
|
{
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
ptr = mat->data.ptr + (size_t)idx*pix_size;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
ptr = mat->data.ptr;
|
|
|
|
for( j = mat->dims - 1; j >= 0; j-- )
|
|
|
|
{
|
|
|
|
int sz = mat->dim[j].size;
|
|
|
|
if( sz )
|
|
|
|
{
|
|
|
|
int t = idx/sz;
|
|
|
|
ptr += (idx - t*sz)*mat->dim[j].step;
|
|
|
|
idx = t;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_SPARSE_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvSparseMat* m = (CvSparseMat*)arr;
|
|
|
|
if( m->dims == 1 )
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, &idx, _type, 1, 0 );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int i, n = m->dims;
|
|
|
|
int* _idx = (int*)cvStackAlloc(n*sizeof(_idx[0]));
|
|
|
|
|
|
|
|
for( i = n - 1; i >= 0; i-- )
|
|
|
|
{
|
|
|
|
int t = idx / m->size[i];
|
|
|
|
_idx[i] = idx - t*m->size[i];
|
|
|
|
idx = t;
|
|
|
|
}
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, _idx, _type, 1, 0 );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
}
|
|
|
|
|
|
|
|
return ptr;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns pointer to specified element of 2d array
|
|
|
|
CV_IMPL uchar*
|
|
|
|
cvPtr2D( const CvArr* arr, int y, int x, int* _type )
|
|
|
|
{
|
|
|
|
uchar* ptr = 0;
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
int type;
|
|
|
|
|
|
|
|
if( (unsigned)y >= (unsigned)(mat->rows) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->cols) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
if( _type )
|
|
|
|
*_type = type;
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)y*mat->step + x*CV_ELEM_SIZE(type);
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE( arr ))
|
|
|
|
{
|
|
|
|
IplImage* img = (IplImage*)arr;
|
|
|
|
int pix_size = (img->depth & 255) >> 3;
|
|
|
|
int width, height;
|
|
|
|
ptr = (uchar*)img->imageData;
|
|
|
|
|
|
|
|
if( img->dataOrder == 0 )
|
|
|
|
pix_size *= img->nChannels;
|
|
|
|
|
|
|
|
if( img->roi )
|
|
|
|
{
|
|
|
|
width = img->roi->width;
|
|
|
|
height = img->roi->height;
|
|
|
|
|
|
|
|
ptr += img->roi->yOffset*img->widthStep +
|
|
|
|
img->roi->xOffset*pix_size;
|
|
|
|
|
|
|
|
if( img->dataOrder )
|
|
|
|
{
|
|
|
|
int coi = img->roi->coi;
|
|
|
|
if( !coi )
|
|
|
|
CV_Error( CV_BadCOI,
|
|
|
|
"COI must be non-null in case of planar images" );
|
|
|
|
ptr += (coi - 1)*img->imageSize;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
width = img->width;
|
|
|
|
height = img->height;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( (unsigned)y >= (unsigned)height ||
|
|
|
|
(unsigned)x >= (unsigned)width )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr += y*img->widthStep + x*pix_size;
|
|
|
|
|
|
|
|
if( _type )
|
|
|
|
{
|
|
|
|
int type = IPL2CV_DEPTH(img->depth);
|
|
|
|
if( type < 0 || (unsigned)(img->nChannels - 1) > 3 )
|
|
|
|
CV_Error( CV_StsUnsupportedFormat, "" );
|
|
|
|
|
|
|
|
*_type = CV_MAKETYPE( type, img->nChannels );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if( CV_IS_MATND( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
|
|
|
|
if( mat->dims != 2 ||
|
|
|
|
(unsigned)y >= (unsigned)(mat->dim[0].size) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->dim[1].size) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)y*mat->dim[0].step + x*mat->dim[1].step;
|
|
|
|
if( _type )
|
|
|
|
*_type = CV_MAT_TYPE(mat->type);
|
|
|
|
}
|
|
|
|
else if( CV_IS_SPARSE_MAT( arr ))
|
|
|
|
{
|
|
|
|
int idx[] = { y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, _type, 1, 0 );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
}
|
|
|
|
|
|
|
|
return ptr;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns pointer to specified element of 3d array
|
|
|
|
CV_IMPL uchar*
|
|
|
|
cvPtr3D( const CvArr* arr, int z, int y, int x, int* _type )
|
|
|
|
{
|
|
|
|
uchar* ptr = 0;
|
|
|
|
if( CV_IS_MATND( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
|
|
|
|
if( mat->dims != 3 ||
|
|
|
|
(unsigned)z >= (unsigned)(mat->dim[0].size) ||
|
|
|
|
(unsigned)y >= (unsigned)(mat->dim[1].size) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->dim[2].size) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)z*mat->dim[0].step +
|
|
|
|
(size_t)y*mat->dim[1].step + x*mat->dim[2].step;
|
|
|
|
|
|
|
|
if( _type )
|
|
|
|
*_type = CV_MAT_TYPE(mat->type);
|
|
|
|
}
|
|
|
|
else if( CV_IS_SPARSE_MAT( arr ))
|
|
|
|
{
|
|
|
|
int idx[] = { z, y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, _type, 1, 0 );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
}
|
|
|
|
|
|
|
|
return ptr;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns pointer to specified element of n-d array
|
|
|
|
CV_IMPL uchar*
|
|
|
|
cvPtrND( const CvArr* arr, const int* idx, int* _type,
|
|
|
|
int create_node, unsigned* precalc_hashval )
|
|
|
|
{
|
|
|
|
uchar* ptr = 0;
|
|
|
|
if( !idx )
|
|
|
|
CV_Error( CV_StsNullPtr, "NULL pointer to indices" );
|
|
|
|
|
|
|
|
if( CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx,
|
|
|
|
_type, create_node, precalc_hashval );
|
|
|
|
else if( CV_IS_MATND( arr ))
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
int i;
|
|
|
|
ptr = mat->data.ptr;
|
|
|
|
|
|
|
|
for( i = 0; i < mat->dims; i++ )
|
|
|
|
{
|
|
|
|
if( (unsigned)idx[i] >= (unsigned)(mat->dim[i].size) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
ptr += (size_t)idx[i]*mat->dim[i].step;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( _type )
|
|
|
|
*_type = CV_MAT_TYPE(mat->type);
|
|
|
|
}
|
|
|
|
else if( CV_IS_MAT_HDR(arr) || CV_IS_IMAGE_HDR(arr) )
|
|
|
|
ptr = cvPtr2D( arr, idx[0], idx[1], _type );
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadArg, "unrecognized or unsupported array type" );
|
|
|
|
|
|
|
|
return ptr;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of n-D array given linear index
|
|
|
|
CV_IMPL CvScalar
|
|
|
|
cvGet1D( const CvArr* arr, int idx )
|
|
|
|
{
|
|
|
|
CvScalar scalar = {{0,0,0,0}};
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ) && CV_IS_MAT_CONT( ((CvMat*)arr)->type ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
|
|
|
|
// the first part is mul-free sufficient check
|
|
|
|
// that the index is within the matrix
|
|
|
|
if( (unsigned)idx >= (unsigned)(mat->rows + mat->cols - 1) &&
|
|
|
|
(unsigned)idx >= (unsigned)(mat->rows*mat->cols))
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)idx*pix_size;
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ) || ((CvSparseMat*)arr)->dims > 1 )
|
|
|
|
ptr = cvPtr1D( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, &idx, &type, 0, 0 );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
cvRawDataToScalar( ptr, type, &scalar );
|
|
|
|
|
|
|
|
return scalar;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of 2D array
|
|
|
|
CV_IMPL CvScalar
|
|
|
|
cvGet2D( const CvArr* arr, int y, int x )
|
|
|
|
{
|
|
|
|
CvScalar scalar = {{0,0,0,0}};
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( (unsigned)y >= (unsigned)(mat->rows) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->cols) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
ptr = mat->data.ptr + (size_t)y*mat->step + x*CV_ELEM_SIZE(type);
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr2D( arr, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, 0, 0 );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
cvRawDataToScalar( ptr, type, &scalar );
|
|
|
|
|
|
|
|
return scalar;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of 3D array
|
|
|
|
CV_IMPL CvScalar
|
|
|
|
cvGet3D( const CvArr* arr, int z, int y, int x )
|
|
|
|
{
|
|
|
|
CvScalar scalar = {{0,0,0,0}};
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr3D( arr, z, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { z, y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, 0, 0 );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
cvRawDataToScalar( ptr, type, &scalar );
|
|
|
|
return scalar;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of nD array
|
|
|
|
CV_IMPL CvScalar
|
|
|
|
cvGetND( const CvArr* arr, const int* idx )
|
|
|
|
{
|
|
|
|
CvScalar scalar = {{0,0,0,0}};
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtrND( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, 0, 0 );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
cvRawDataToScalar( ptr, type, &scalar );
|
|
|
|
|
|
|
|
return scalar;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of n-D array given linear index
|
|
|
|
CV_IMPL double
|
|
|
|
cvGetReal1D( const CvArr* arr, int idx )
|
|
|
|
{
|
|
|
|
double value = 0;
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ) && CV_IS_MAT_CONT( ((CvMat*)arr)->type ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
|
|
|
|
// the first part is mul-free sufficient check
|
|
|
|
// that the index is within the matrix
|
|
|
|
if( (unsigned)idx >= (unsigned)(mat->rows + mat->cols - 1) &&
|
|
|
|
(unsigned)idx >= (unsigned)(mat->rows*mat->cols))
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)idx*pix_size;
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ) || ((CvSparseMat*)arr)->dims > 1 )
|
|
|
|
ptr = cvPtr1D( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, &idx, &type, 0, 0 );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
{
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvGetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
value = icvGetReal( ptr, type );
|
|
|
|
}
|
|
|
|
return value;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of 2D array
|
|
|
|
CV_IMPL double
|
|
|
|
cvGetReal2D( const CvArr* arr, int y, int x )
|
|
|
|
{
|
|
|
|
double value = 0;
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( (unsigned)y >= (unsigned)(mat->rows) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->cols) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
ptr = mat->data.ptr + (size_t)y*mat->step + x*CV_ELEM_SIZE(type);
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr2D( arr, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, 0, 0 );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
{
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvGetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
value = icvGetReal( ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
return value;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of 3D array
|
|
|
|
CV_IMPL double
|
|
|
|
cvGetReal3D( const CvArr* arr, int z, int y, int x )
|
|
|
|
{
|
|
|
|
double value = 0;
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr3D( arr, z, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { z, y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, 0, 0 );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
{
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvGetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
value = icvGetReal( ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
return value;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Returns specifed element of nD array
|
|
|
|
CV_IMPL double
|
|
|
|
cvGetRealND( const CvArr* arr, const int* idx )
|
|
|
|
{
|
|
|
|
double value = 0;
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtrND( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, 0, 0 );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
{
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvGetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
value = icvGetReal( ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
return value;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Assigns new value to specifed element of nD array given linear index
|
|
|
|
CV_IMPL void
|
|
|
|
cvSet1D( CvArr* arr, int idx, CvScalar scalar )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ) && CV_IS_MAT_CONT( ((CvMat*)arr)->type ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
|
|
|
|
// the first part is mul-free sufficient check
|
|
|
|
// that the index is within the matrix
|
|
|
|
if( (unsigned)idx >= (unsigned)(mat->rows + mat->cols - 1) &&
|
|
|
|
(unsigned)idx >= (unsigned)(mat->rows*mat->cols))
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)idx*pix_size;
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ) || ((CvSparseMat*)arr)->dims > 1 )
|
|
|
|
ptr = cvPtr1D( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, &idx, &type, -1, 0 );
|
|
|
|
|
|
|
|
cvScalarToRawData( &scalar, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Assigns new value to specifed element of 2D array
|
|
|
|
CV_IMPL void
|
|
|
|
cvSet2D( CvArr* arr, int y, int x, CvScalar scalar )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( (unsigned)y >= (unsigned)(mat->rows) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->cols) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
ptr = mat->data.ptr + (size_t)y*mat->step + x*CV_ELEM_SIZE(type);
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr2D( arr, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, -1, 0 );
|
|
|
|
}
|
|
|
|
cvScalarToRawData( &scalar, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Assigns new value to specifed element of 3D array
|
|
|
|
CV_IMPL void
|
|
|
|
cvSet3D( CvArr* arr, int z, int y, int x, CvScalar scalar )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr3D( arr, z, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { z, y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, -1, 0 );
|
|
|
|
}
|
|
|
|
cvScalarToRawData( &scalar, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// Assigns new value to specifed element of nD array
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetND( CvArr* arr, const int* idx, CvScalar scalar )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtrND( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, -1, 0 );
|
|
|
|
cvScalarToRawData( &scalar, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetReal1D( CvArr* arr, int idx, double value )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ) && CV_IS_MAT_CONT( ((CvMat*)arr)->type ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
int pix_size = CV_ELEM_SIZE(type);
|
|
|
|
|
|
|
|
// the first part is mul-free sufficient check
|
|
|
|
// that the index is within the matrix
|
|
|
|
if( (unsigned)idx >= (unsigned)(mat->rows + mat->cols - 1) &&
|
|
|
|
(unsigned)idx >= (unsigned)(mat->rows*mat->cols))
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
ptr = mat->data.ptr + (size_t)idx*pix_size;
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ) || ((CvSparseMat*)arr)->dims > 1 )
|
|
|
|
ptr = cvPtr1D( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, &idx, &type, -1, 0 );
|
|
|
|
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvSetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
icvSetReal( value, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetReal2D( CvArr* arr, int y, int x, double value )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( CV_IS_MAT( arr ))
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
|
|
|
|
if( (unsigned)y >= (unsigned)(mat->rows) ||
|
|
|
|
(unsigned)x >= (unsigned)(mat->cols) )
|
|
|
|
CV_Error( CV_StsOutOfRange, "index is out of range" );
|
|
|
|
|
|
|
|
type = CV_MAT_TYPE(mat->type);
|
|
|
|
ptr = mat->data.ptr + (size_t)y*mat->step + x*CV_ELEM_SIZE(type);
|
|
|
|
}
|
|
|
|
else if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
{
|
|
|
|
ptr = cvPtr2D( arr, y, x, &type );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, -1, 0 );
|
|
|
|
}
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvSetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
icvSetReal( value, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetReal3D( CvArr* arr, int z, int y, int x, double value )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtr3D( arr, z, y, x, &type );
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int idx[] = { z, y, x };
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, -1, 0 );
|
|
|
|
}
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvSetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
icvSetReal( value, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetRealND( CvArr* arr, const int* idx, double value )
|
|
|
|
{
|
|
|
|
int type = 0;
|
|
|
|
uchar* ptr;
|
|
|
|
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
ptr = cvPtrND( arr, idx, &type );
|
|
|
|
else
|
|
|
|
ptr = icvGetNodePtr( (CvSparseMat*)arr, idx, &type, -1, 0 );
|
|
|
|
|
|
|
|
if( CV_MAT_CN( type ) > 1 )
|
|
|
|
CV_Error( CV_BadNumChannels, "cvSetReal* support only single-channel arrays" );
|
|
|
|
|
|
|
|
if( ptr )
|
|
|
|
icvSetReal( value, ptr, type );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvClearND( CvArr* arr, const int* idx )
|
|
|
|
{
|
|
|
|
if( !CV_IS_SPARSE_MAT( arr ))
|
|
|
|
{
|
|
|
|
int type;
|
|
|
|
uchar* ptr;
|
|
|
|
ptr = cvPtrND( arr, idx, &type );
|
|
|
|
if( ptr )
|
|
|
|
CV_ZERO_CHAR( ptr, CV_ELEM_SIZE(type) );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
icvDeleteNode( (CvSparseMat*)arr, idx, 0 );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/****************************************************************************************\
|
|
|
|
* Conversion to CvMat or IplImage *
|
|
|
|
\****************************************************************************************/
|
|
|
|
|
|
|
|
// convert array (CvMat or IplImage) to CvMat
|
|
|
|
CV_IMPL CvMat*
|
|
|
|
cvGetMat( const CvArr* array, CvMat* mat,
|
|
|
|
int* pCOI, int allowND )
|
|
|
|
{
|
|
|
|
CvMat* result = 0;
|
|
|
|
CvMat* src = (CvMat*)array;
|
|
|
|
int coi = 0;
|
|
|
|
|
|
|
|
if( !mat || !src )
|
|
|
|
CV_Error( CV_StsNullPtr, "NULL array pointer is passed" );
|
|
|
|
|
|
|
|
if( CV_IS_MAT_HDR(src))
|
|
|
|
{
|
|
|
|
if( !src->data.ptr )
|
|
|
|
CV_Error( CV_StsNullPtr, "The matrix has NULL data pointer" );
|
|
|
|
|
|
|
|
result = (CvMat*)src;
|
|
|
|
}
|
|
|
|
else if( CV_IS_IMAGE_HDR(src) )
|
|
|
|
{
|
|
|
|
const IplImage* img = (const IplImage*)src;
|
|
|
|
int depth, order;
|
|
|
|
|
|
|
|
if( img->imageData == 0 )
|
|
|
|
CV_Error( CV_StsNullPtr, "The image has NULL data pointer" );
|
|
|
|
|
|
|
|
depth = IPL2CV_DEPTH( img->depth );
|
|
|
|
if( depth < 0 )
|
|
|
|
CV_Error( CV_BadDepth, "" );
|
|
|
|
|
|
|
|
order = img->dataOrder & (img->nChannels > 1 ? -1 : 0);
|
|
|
|
|
|
|
|
if( img->roi )
|
|
|
|
{
|
|
|
|
if( order == IPL_DATA_ORDER_PLANE )
|
|
|
|
{
|
|
|
|
int type = depth;
|
|
|
|
|
|
|
|
if( img->roi->coi == 0 )
|
|
|
|
CV_Error( CV_StsBadFlag,
|
|
|
|
"Images with planar data layout should be used with COI selected" );
|
|
|
|
|
|
|
|
cvInitMatHeader( mat, img->roi->height,
|
|
|
|
img->roi->width, type,
|
|
|
|
img->imageData + (img->roi->coi-1)*img->imageSize +
|
|
|
|
img->roi->yOffset*img->widthStep +
|
|
|
|
img->roi->xOffset*CV_ELEM_SIZE(type),
|
|
|
|
img->widthStep );
|
|
|
|
}
|
|
|
|
else /* pixel order */
|
|
|
|
{
|
|
|
|
int type = CV_MAKETYPE( depth, img->nChannels );
|
|
|
|
coi = img->roi->coi;
|
|
|
|
|
|
|
|
if( img->nChannels > CV_CN_MAX )
|
|
|
|
CV_Error( CV_BadNumChannels,
|
|
|
|
"The image is interleaved and has over CV_CN_MAX channels" );
|
|
|
|
|
|
|
|
cvInitMatHeader( mat, img->roi->height, img->roi->width,
|
|
|
|
type, img->imageData +
|
|
|
|
img->roi->yOffset*img->widthStep +
|
|
|
|
img->roi->xOffset*CV_ELEM_SIZE(type),
|
|
|
|
img->widthStep );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int type = CV_MAKETYPE( depth, img->nChannels );
|
|
|
|
|
|
|
|
if( order != IPL_DATA_ORDER_PIXEL )
|
|
|
|
CV_Error( CV_StsBadFlag, "Pixel order should be used with coi == 0" );
|
|
|
|
|
|
|
|
cvInitMatHeader( mat, img->height, img->width, type,
|
|
|
|
img->imageData, img->widthStep );
|
|
|
|
}
|
|
|
|
|
|
|
|
result = mat;
|
|
|
|
}
|
|
|
|
else if( allowND && CV_IS_MATND_HDR(src) )
|
|
|
|
{
|
|
|
|
CvMatND* matnd = (CvMatND*)src;
|
|
|
|
int i;
|
|
|
|
int size1 = matnd->dim[0].size, size2 = 1;
|
|
|
|
|
|
|
|
if( !src->data.ptr )
|
|
|
|
CV_Error( CV_StsNullPtr, "Input array has NULL data pointer" );
|
|
|
|
|
|
|
|
if( !CV_IS_MAT_CONT( matnd->type ))
|
|
|
|
CV_Error( CV_StsBadArg, "Only continuous nD arrays are supported here" );
|
|
|
|
|
|
|
|
if( matnd->dims > 2 )
|
|
|
|
for( i = 1; i < matnd->dims; i++ )
|
|
|
|
size2 *= matnd->dim[i].size;
|
|
|
|
else
|
|
|
|
size2 = matnd->dims == 1 ? 1 : matnd->dim[1].size;
|
|
|
|
|
|
|
|
mat->refcount = 0;
|
|
|
|
mat->hdr_refcount = 0;
|
|
|
|
mat->data.ptr = matnd->data.ptr;
|
|
|
|
mat->rows = size1;
|
|
|
|
mat->cols = size2;
|
|
|
|
mat->type = CV_MAT_TYPE(matnd->type) | CV_MAT_MAGIC_VAL | CV_MAT_CONT_FLAG;
|
|
|
|
mat->step = size2*CV_ELEM_SIZE(matnd->type);
|
|
|
|
mat->step &= size1 > 1 ? -1 : 0;
|
|
|
|
|
|
|
|
icvCheckHuge( mat );
|
|
|
|
result = mat;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
CV_Error( CV_StsBadFlag, "Unrecognized or unsupported array type" );
|
|
|
|
|
|
|
|
if( pCOI )
|
|
|
|
*pCOI = coi;
|
|
|
|
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL CvArr*
|
|
|
|
cvReshapeMatND( const CvArr* arr,
|
|
|
|
int sizeof_header, CvArr* _header,
|
|
|
|
int new_cn, int new_dims, int* new_sizes )
|
|
|
|
{
|
|
|
|
CvArr* result = 0;
|
|
|
|
int dims, coi = 0;
|
|
|
|
|
|
|
|
if( !arr || !_header )
|
|
|
|
CV_Error( CV_StsNullPtr, "NULL pointer to array or destination header" );
|
|
|
|
|
|
|
|
if( new_cn == 0 && new_dims == 0 )
|
|
|
|
CV_Error( CV_StsBadArg, "None of array parameters is changed: dummy call?" );
|
|
|
|
|
|
|
|
dims = cvGetDims( arr );
|
|
|
|
|
|
|
|
if( new_dims == 0 )
|
|
|
|
{
|
|
|
|
new_sizes = 0;
|
|
|
|
new_dims = dims;
|
|
|
|
}
|
|
|
|
else if( new_dims == 1 )
|
|
|
|
{
|
|
|
|
new_sizes = 0;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
if( new_dims <= 0 || new_dims > CV_MAX_DIM )
|
|
|
|
CV_Error( CV_StsOutOfRange, "Non-positive or too large number of dimensions" );
|
|
|
|
if( !new_sizes )
|
|
|
|
CV_Error( CV_StsNullPtr, "New dimension sizes are not specified" );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( new_dims <= 2 )
|
|
|
|
{
|
|
|
|
CvMat* mat = (CvMat*)arr;
|
|
|
|
CvMat header;
|
|
|
|
int* refcount = 0;
|
|
|
|
int hdr_refcount = 0;
|
|
|
|
int total_width, new_rows, cn;
|
|
|
|
|
|
|
|
if( sizeof_header != sizeof(CvMat) && sizeof_header != sizeof(CvMatND) )
|
|
|
|
CV_Error( CV_StsBadArg, "The output header should be CvMat or CvMatND" );
|
|
|
|
|
|
|
|
if( mat == (CvMat*)_header )
|
|
|
|
{
|
|
|
|
refcount = mat->refcount;
|
|
|
|
hdr_refcount = mat->hdr_refcount;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( !CV_IS_MAT( mat ))
|
|
|
|
mat = cvGetMat( mat, &header, &coi, 1 );
|
|
|
|
|
|
|
|
cn = CV_MAT_CN( mat->type );
|
|
|
|
total_width = mat->cols * cn;
|
|
|
|
|
|
|
|
if( new_cn == 0 )
|
|
|
|
new_cn = cn;
|
|
|
|
|
|
|
|
if( new_sizes )
|
|
|
|
new_rows = new_sizes[0];
|
|
|
|
else if( new_dims == 1 )
|
|
|
|
new_rows = total_width*mat->rows/new_cn;
|
|
|
|
else
|
|
|
|
{
|
|
|
|
new_rows = mat->rows;
|
|
|
|
if( new_cn > total_width )
|
|
|
|
new_rows = mat->rows * total_width / new_cn;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( new_rows != mat->rows )
|
|
|
|
{
|
|
|
|
int total_size = total_width * mat->rows;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT_CONT( mat->type ))
|
|
|
|
CV_Error( CV_BadStep,
|
|
|
|
"The matrix is not continuous so the number of rows can not be changed" );
|
|
|
|
|
|
|
|
total_width = total_size / new_rows;
|
|
|
|
|
|
|
|
if( total_width * new_rows != total_size )
|
|
|
|
CV_Error( CV_StsBadArg, "The total number of matrix elements "
|
|
|
|
"is not divisible by the new number of rows" );
|
|
|
|
}
|
|
|
|
|
|
|
|
header.rows = new_rows;
|
|
|
|
header.cols = total_width / new_cn;
|
|
|
|
|
|
|
|
if( header.cols * new_cn != total_width ||
|
|
|
|
(new_sizes && header.cols != new_sizes[1]) )
|
|
|
|
CV_Error( CV_StsBadArg, "The total matrix width is not "
|
|
|
|
"divisible by the new number of columns" );
|
|
|
|
|
|
|
|
header.type = (mat->type & ~CV_MAT_TYPE_MASK) | CV_MAKETYPE(mat->type, new_cn);
|
|
|
|
header.step = header.cols * CV_ELEM_SIZE(mat->type);
|
|
|
|
header.step &= new_rows > 1 ? -1 : 0;
|
|
|
|
header.refcount = refcount;
|
|
|
|
header.hdr_refcount = hdr_refcount;
|
|
|
|
|
|
|
|
if( sizeof_header == sizeof(CvMat) )
|
|
|
|
*(CvMat*)_header = header;
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CvMatND* __header = (CvMatND*)_header;
|
|
|
|
cvGetMatND(&header, __header, 0);
|
|
|
|
if( new_dims > 0 )
|
|
|
|
__header->dims = new_dims;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CvMatND* header = (CvMatND*)_header;
|
|
|
|
|
|
|
|
if( sizeof_header != sizeof(CvMatND))
|
|
|
|
CV_Error( CV_StsBadSize, "The output header should be CvMatND" );
|
|
|
|
|
|
|
|
if( !new_sizes )
|
|
|
|
{
|
|
|
|
if( !CV_IS_MATND( arr ))
|
|
|
|
CV_Error( CV_StsBadArg, "The input array must be CvMatND" );
|
|
|
|
|
|
|
|
{
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
assert( new_cn > 0 );
|
|
|
|
int last_dim_size = mat->dim[mat->dims-1].size*CV_MAT_CN(mat->type);
|
|
|
|
int new_size = last_dim_size/new_cn;
|
|
|
|
|
|
|
|
if( new_size*new_cn != last_dim_size )
|
|
|
|
CV_Error( CV_StsBadArg,
|
|
|
|
"The last dimension full size is not divisible by new number of channels");
|
|
|
|
|
|
|
|
if( mat != header )
|
|
|
|
{
|
|
|
|
memcpy( header, mat, sizeof(*header));
|
|
|
|
header->refcount = 0;
|
|
|
|
header->hdr_refcount = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
header->dim[header->dims-1].size = new_size;
|
|
|
|
header->type = (header->type & ~CV_MAT_TYPE_MASK) | CV_MAKETYPE(header->type, new_cn);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CvMatND stub;
|
|
|
|
CvMatND* mat = (CvMatND*)arr;
|
|
|
|
int i, size1, size2;
|
|
|
|
int step;
|
|
|
|
|
|
|
|
if( new_cn != 0 )
|
|
|
|
CV_Error( CV_StsBadArg,
|
|
|
|
"Simultaneous change of shape and number of channels is not supported. "
|
|
|
|
"Do it by 2 separate calls" );
|
|
|
|
|
|
|
|
if( !CV_IS_MATND( mat ))
|
|
|
|
{
|
|
|
|
cvGetMatND( mat, &stub, &coi );
|
|
|
|
mat = &stub;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( CV_IS_MAT_CONT( mat->type ))
|
|
|
|
CV_Error( CV_StsBadArg, "Non-continuous nD arrays are not supported" );
|
|
|
|
|
|
|
|
size1 = mat->dim[0].size;
|
|
|
|
for( i = 1; i < dims; i++ )
|
|
|
|
size1 *= mat->dim[i].size;
|
|
|
|
|
|
|
|
size2 = 1;
|
|
|
|
for( i = 0; i < new_dims; i++ )
|
|
|
|
{
|
|
|
|
if( new_sizes[i] <= 0 )
|
|
|
|
CV_Error( CV_StsBadSize,
|
|
|
|
"One of new dimension sizes is non-positive" );
|
|
|
|
size2 *= new_sizes[i];
|
|
|
|
}
|
|
|
|
|
|
|
|
if( size1 != size2 )
|
|
|
|
CV_Error( CV_StsBadSize,
|
|
|
|
"Number of elements in the original and reshaped array is different" );
|
|
|
|
|
|
|
|
if( header != mat )
|
|
|
|
{
|
|
|
|
header->refcount = 0;
|
|
|
|
header->hdr_refcount = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
header->dims = new_dims;
|
|
|
|
header->type = mat->type;
|
|
|
|
header->data.ptr = mat->data.ptr;
|
|
|
|
step = CV_ELEM_SIZE(header->type);
|
|
|
|
|
|
|
|
for( i = new_dims - 1; i >= 0; i-- )
|
|
|
|
{
|
|
|
|
header->dim[i].size = new_sizes[i];
|
|
|
|
header->dim[i].step = step;
|
|
|
|
step *= new_sizes[i];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
if( coi )
|
|
|
|
CV_Error( CV_BadCOI, "COI is not supported by this operation" );
|
|
|
|
|
|
|
|
result = _header;
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL CvMat*
|
|
|
|
cvReshape( const CvArr* array, CvMat* header,
|
|
|
|
int new_cn, int new_rows )
|
|
|
|
{
|
|
|
|
CvMat* result = 0;
|
|
|
|
CvMat *mat = (CvMat*)array;
|
|
|
|
int total_width, new_width;
|
|
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|
|
if( !header )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
if( !CV_IS_MAT( mat ))
|
|
|
|
{
|
|
|
|
int coi = 0;
|
|
|
|
mat = cvGetMat( mat, header, &coi, 1 );
|
|
|
|
if( coi )
|
|
|
|
CV_Error( CV_BadCOI, "COI is not supported" );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( new_cn == 0 )
|
|
|
|
new_cn = CV_MAT_CN(mat->type);
|
|
|
|
else if( (unsigned)(new_cn - 1) > 3 )
|
|
|
|
CV_Error( CV_BadNumChannels, "" );
|
|
|
|
|
|
|
|
if( mat != header )
|
|
|
|
{
|
|
|
|
int hdr_refcount = header->hdr_refcount;
|
|
|
|
*header = *mat;
|
|
|
|
header->refcount = 0;
|
|
|
|
header->hdr_refcount = hdr_refcount;
|
|
|
|
}
|
|
|
|
|
|
|
|
total_width = mat->cols * CV_MAT_CN( mat->type );
|
|
|
|
|
|
|
|
if( (new_cn > total_width || total_width % new_cn != 0) && new_rows == 0 )
|
|
|
|
new_rows = mat->rows * total_width / new_cn;
|
|
|
|
|
|
|
|
if( new_rows == 0 || new_rows == mat->rows )
|
|
|
|
{
|
|
|
|
header->rows = mat->rows;
|
|
|
|
header->step = mat->step;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
int total_size = total_width * mat->rows;
|
|
|
|
if( !CV_IS_MAT_CONT( mat->type ))
|
|
|
|
CV_Error( CV_BadStep,
|
|
|
|
"The matrix is not continuous, thus its number of rows can not be changed" );
|
|
|
|
|
|
|
|
if( (unsigned)new_rows > (unsigned)total_size )
|
|
|
|
CV_Error( CV_StsOutOfRange, "Bad new number of rows" );
|
|
|
|
|
|
|
|
total_width = total_size / new_rows;
|
|
|
|
|
|
|
|
if( total_width * new_rows != total_size )
|
|
|
|
CV_Error( CV_StsBadArg, "The total number of matrix elements "
|
|
|
|
"is not divisible by the new number of rows" );
|
|
|
|
|
|
|
|
header->rows = new_rows;
|
|
|
|
header->step = total_width * CV_ELEM_SIZE1(mat->type);
|
|
|
|
}
|
|
|
|
|
|
|
|
new_width = total_width / new_cn;
|
|
|
|
|
|
|
|
if( new_width * new_cn != total_width )
|
|
|
|
CV_Error( CV_BadNumChannels,
|
|
|
|
"The total width is not divisible by the new number of channels" );
|
|
|
|
|
|
|
|
header->cols = new_width;
|
|
|
|
header->type = (mat->type & ~CV_MAT_TYPE_MASK) | CV_MAKETYPE(mat->type, new_cn);
|
|
|
|
|
|
|
|
result = header;
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// convert array (CvMat or IplImage) to IplImage
|
|
|
|
CV_IMPL IplImage*
|
|
|
|
cvGetImage( const CvArr* array, IplImage* img )
|
|
|
|
{
|
|
|
|
IplImage* result = 0;
|
|
|
|
const IplImage* src = (const IplImage*)array;
|
|
|
|
int depth;
|
|
|
|
|
|
|
|
if( !img )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
if( !CV_IS_IMAGE_HDR(src) )
|
|
|
|
{
|
|
|
|
const CvMat* mat = (const CvMat*)src;
|
|
|
|
|
|
|
|
if( !CV_IS_MAT_HDR(mat))
|
|
|
|
CV_Error( CV_StsBadFlag, "" );
|
|
|
|
|
|
|
|
if( mat->data.ptr == 0 )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
depth = cvIplDepth(mat->type);
|
|
|
|
|
|
|
|
cvInitImageHeader( img, cvSize(mat->cols, mat->rows),
|
|
|
|
depth, CV_MAT_CN(mat->type) );
|
|
|
|
cvSetData( img, mat->data.ptr, mat->step );
|
|
|
|
|
|
|
|
result = img;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
result = (IplImage*)src;
|
|
|
|
}
|
|
|
|
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/****************************************************************************************\
|
|
|
|
* IplImage-specific functions *
|
|
|
|
\****************************************************************************************/
|
|
|
|
|
|
|
|
static IplROI* icvCreateROI( int coi, int xOffset, int yOffset, int width, int height )
|
|
|
|
{
|
|
|
|
IplROI *roi = 0;
|
|
|
|
if( !CvIPL.createROI )
|
|
|
|
{
|
|
|
|
roi = (IplROI*)cvAlloc( sizeof(*roi));
|
|
|
|
|
|
|
|
roi->coi = coi;
|
|
|
|
roi->xOffset = xOffset;
|
|
|
|
roi->yOffset = yOffset;
|
|
|
|
roi->width = width;
|
|
|
|
roi->height = height;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
roi = CvIPL.createROI( coi, xOffset, yOffset, width, height );
|
|
|
|
}
|
|
|
|
|
|
|
|
return roi;
|
|
|
|
}
|
|
|
|
|
|
|
|
static void
|
|
|
|
icvGetColorModel( int nchannels, const char** colorModel, const char** channelSeq )
|
|
|
|
{
|
|
|
|
static const char* tab[][2] =
|
|
|
|
{
|
|
|
|
{"GRAY", "GRAY"},
|
|
|
|
{"",""},
|
|
|
|
{"RGB","BGR"},
|
|
|
|
{"RGB","BGRA"}
|
|
|
|
};
|
|
|
|
|
|
|
|
nchannels--;
|
|
|
|
*colorModel = *channelSeq = "";
|
|
|
|
|
|
|
|
if( (unsigned)nchannels <= 3 )
|
|
|
|
{
|
|
|
|
*colorModel = tab[nchannels][0];
|
|
|
|
*channelSeq = tab[nchannels][1];
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// create IplImage header
|
|
|
|
CV_IMPL IplImage *
|
|
|
|
cvCreateImageHeader( CvSize size, int depth, int channels )
|
|
|
|
{
|
|
|
|
IplImage *img = 0;
|
|
|
|
|
|
|
|
if( !CvIPL.createHeader )
|
|
|
|
{
|
|
|
|
img = (IplImage *)cvAlloc( sizeof( *img ));
|
|
|
|
cvInitImageHeader( img, size, depth, channels, IPL_ORIGIN_TL,
|
|
|
|
CV_DEFAULT_IMAGE_ROW_ALIGN );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
const char *colorModel, *channelSeq;
|
|
|
|
|
|
|
|
icvGetColorModel( channels, &colorModel, &channelSeq );
|
|
|
|
|
|
|
|
img = CvIPL.createHeader( channels, 0, depth, (char*)colorModel, (char*)channelSeq,
|
|
|
|
IPL_DATA_ORDER_PIXEL, IPL_ORIGIN_TL,
|
|
|
|
CV_DEFAULT_IMAGE_ROW_ALIGN,
|
|
|
|
size.width, size.height, 0, 0, 0, 0 );
|
|
|
|
}
|
|
|
|
|
|
|
|
return img;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// create IplImage header and allocate underlying data
|
|
|
|
CV_IMPL IplImage *
|
|
|
|
cvCreateImage( CvSize size, int depth, int channels )
|
|
|
|
{
|
|
|
|
IplImage *img = cvCreateImageHeader( size, depth, channels );
|
|
|
|
assert( img );
|
|
|
|
cvCreateData( img );
|
|
|
|
|
|
|
|
return img;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
// initalize IplImage header, allocated by the user
|
|
|
|
CV_IMPL IplImage*
|
|
|
|
cvInitImageHeader( IplImage * image, CvSize size, int depth,
|
|
|
|
int channels, int origin, int align )
|
|
|
|
{
|
|
|
|
const char *colorModel, *channelSeq;
|
|
|
|
|
|
|
|
if( !image )
|
|
|
|
CV_Error( CV_HeaderIsNull, "null pointer to header" );
|
|
|
|
|
|
|
|
memset( image, 0, sizeof( *image ));
|
|
|
|
image->nSize = sizeof( *image );
|
|
|
|
|
|
|
|
icvGetColorModel( channels, &colorModel, &channelSeq );
|
|
|
|
strncpy( image->colorModel, colorModel, 4 );
|
|
|
|
strncpy( image->channelSeq, channelSeq, 4 );
|
|
|
|
|
|
|
|
if( size.width < 0 || size.height < 0 )
|
|
|
|
CV_Error( CV_BadROISize, "Bad input roi" );
|
|
|
|
|
|
|
|
if( (depth != (int)IPL_DEPTH_1U && depth != (int)IPL_DEPTH_8U &&
|
|
|
|
depth != (int)IPL_DEPTH_8S && depth != (int)IPL_DEPTH_16U &&
|
|
|
|
depth != (int)IPL_DEPTH_16S && depth != (int)IPL_DEPTH_32S &&
|
|
|
|
depth != (int)IPL_DEPTH_32F && depth != (int)IPL_DEPTH_64F) ||
|
|
|
|
channels < 0 )
|
|
|
|
CV_Error( CV_BadDepth, "Unsupported format" );
|
|
|
|
if( origin != CV_ORIGIN_BL && origin != CV_ORIGIN_TL )
|
|
|
|
CV_Error( CV_BadOrigin, "Bad input origin" );
|
|
|
|
|
|
|
|
if( align != 4 && align != 8 )
|
|
|
|
CV_Error( CV_BadAlign, "Bad input align" );
|
|
|
|
|
|
|
|
image->width = size.width;
|
|
|
|
image->height = size.height;
|
|
|
|
|
|
|
|
if( image->roi )
|
|
|
|
{
|
|
|
|
image->roi->coi = 0;
|
|
|
|
image->roi->xOffset = image->roi->yOffset = 0;
|
|
|
|
image->roi->width = size.width;
|
|
|
|
image->roi->height = size.height;
|
|
|
|
}
|
|
|
|
|
|
|
|
image->nChannels = MAX( channels, 1 );
|
|
|
|
image->depth = depth;
|
|
|
|
image->align = align;
|
|
|
|
image->widthStep = (((image->width * image->nChannels *
|
|
|
|
(image->depth & ~IPL_DEPTH_SIGN) + 7)/8)+ align - 1) & (~(align - 1));
|
|
|
|
image->origin = origin;
|
|
|
|
image->imageSize = image->widthStep * image->height;
|
|
|
|
|
|
|
|
return image;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvReleaseImageHeader( IplImage** image )
|
|
|
|
{
|
|
|
|
if( !image )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
if( *image )
|
|
|
|
{
|
|
|
|
IplImage* img = *image;
|
|
|
|
*image = 0;
|
|
|
|
|
|
|
|
if( !CvIPL.deallocate )
|
|
|
|
{
|
|
|
|
cvFree( &img->roi );
|
|
|
|
cvFree( &img );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CvIPL.deallocate( img, IPL_IMAGE_HEADER | IPL_IMAGE_ROI );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvReleaseImage( IplImage ** image )
|
|
|
|
{
|
|
|
|
if( !image )
|
|
|
|
CV_Error( CV_StsNullPtr, "" );
|
|
|
|
|
|
|
|
if( *image )
|
|
|
|
{
|
|
|
|
IplImage* img = *image;
|
|
|
|
*image = 0;
|
|
|
|
|
|
|
|
cvReleaseData( img );
|
|
|
|
cvReleaseImageHeader( &img );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetImageROI( IplImage* image, CvRect rect )
|
|
|
|
{
|
|
|
|
if( !image )
|
|
|
|
CV_Error( CV_HeaderIsNull, "" );
|
|
|
|
|
|
|
|
// allow zero ROI width or height
|
|
|
|
CV_Assert( rect.width >= 0 && rect.height >= 0 &&
|
|
|
|
rect.x < image->width && rect.y < image->height &&
|
|
|
|
rect.x + rect.width >= (int)(rect.width > 0) &&
|
|
|
|
rect.y + rect.height >= (int)(rect.height > 0) );
|
|
|
|
|
|
|
|
rect.width += rect.x;
|
|
|
|
rect.height += rect.y;
|
|
|
|
|
|
|
|
rect.x = std::max(rect.x, 0);
|
|
|
|
rect.y = std::max(rect.y, 0);
|
|
|
|
rect.width = std::min(rect.width, image->width);
|
|
|
|
rect.height = std::min(rect.height, image->height);
|
|
|
|
|
|
|
|
rect.width -= rect.x;
|
|
|
|
rect.height -= rect.y;
|
|
|
|
|
|
|
|
if( image->roi )
|
|
|
|
{
|
|
|
|
image->roi->xOffset = rect.x;
|
|
|
|
image->roi->yOffset = rect.y;
|
|
|
|
image->roi->width = rect.width;
|
|
|
|
image->roi->height = rect.height;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
image->roi = icvCreateROI( 0, rect.x, rect.y, rect.width, rect.height );
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvResetImageROI( IplImage* image )
|
|
|
|
{
|
|
|
|
if( !image )
|
|
|
|
CV_Error( CV_HeaderIsNull, "" );
|
|
|
|
|
|
|
|
if( image->roi )
|
|
|
|
{
|
|
|
|
if( !CvIPL.deallocate )
|
|
|
|
{
|
|
|
|
cvFree( &image->roi );
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
CvIPL.deallocate( image, IPL_IMAGE_ROI );
|
|
|
|
image->roi = 0;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL CvRect
|
|
|
|
cvGetImageROI( const IplImage* img )
|
|
|
|
{
|
|
|
|
CvRect rect = { 0, 0, 0, 0 };
|
|
|
|
if( !img )
|
|
|
|
CV_Error( CV_StsNullPtr, "Null pointer to image" );
|
|
|
|
|
|
|
|
if( img->roi )
|
|
|
|
rect = cvRect( img->roi->xOffset, img->roi->yOffset,
|
|
|
|
img->roi->width, img->roi->height );
|
|
|
|
else
|
|
|
|
rect = cvRect( 0, 0, img->width, img->height );
|
|
|
|
|
|
|
|
return rect;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL void
|
|
|
|
cvSetImageCOI( IplImage* image, int coi )
|
|
|
|
{
|
|
|
|
if( !image )
|
|
|
|
CV_Error( CV_HeaderIsNull, "" );
|
|
|
|
|
|
|
|
if( (unsigned)coi > (unsigned)(image->nChannels) )
|
|
|
|
CV_Error( CV_BadCOI, "" );
|
|
|
|
|
|
|
|
if( image->roi || coi != 0 )
|
|
|
|
{
|
|
|
|
if( image->roi )
|
|
|
|
{
|
|
|
|
image->roi->coi = coi;
|
|
|
|
}
|
|
|
|
else
|
|
|
|
{
|
|
|
|
image->roi = icvCreateROI( coi, 0, 0, image->width, image->height );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
CV_IMPL int
|
|
|
|
cvGetImageCOI( const IplImage* image )
|
|
|
|
{
|
|
|
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if( !image )
|
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|
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CV_Error( CV_HeaderIsNull, "" );
|
|
|
|
|
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return image->roi ? image->roi->coi : 0;
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|
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}
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|
|
|
|
|
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CV_IMPL IplImage*
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cvCloneImage( const IplImage* src )
|
|
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|
{
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IplImage* dst = 0;
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|
|
|
|
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if( !CV_IS_IMAGE_HDR( src ))
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CV_Error( CV_StsBadArg, "Bad image header" );
|
|
|
|
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|
|
if( !CvIPL.cloneImage )
|
|
|
|
{
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|
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|
dst = (IplImage*)cvAlloc( sizeof(*dst));
|
|
|
|
|
|
|
|
memcpy( dst, src, sizeof(*src));
|
|
|
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dst->imageData = dst->imageDataOrigin = 0;
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|
|
|
dst->roi = 0;
|
|
|
|
|
|
|
|
if( src->roi )
|
|
|
|
{
|
|
|
|
dst->roi = icvCreateROI( src->roi->coi, src->roi->xOffset,
|
|
|
|
src->roi->yOffset, src->roi->width, src->roi->height );
|
|
|
|
}
|
|
|
|
|
|
|
|
if( src->imageData )
|
|
|
|
{
|
|
|
|
int size = src->imageSize;
|
|
|
|
cvCreateData( dst );
|
|
|
|
memcpy( dst->imageData, src->imageData, size );
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else
|
|
|
|
dst = CvIPL.cloneImage( src );
|
|
|
|
|
|
|
|
return dst;
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
/****************************************************************************************\
|
|
|
|
* Additional operations on CvTermCriteria *
|
|
|
|
\****************************************************************************************/
|
|
|
|
|
|
|
|
CV_IMPL CvTermCriteria
|
|
|
|
cvCheckTermCriteria( CvTermCriteria criteria, double default_eps,
|
|
|
|
int default_max_iters )
|
|
|
|
{
|
|
|
|
CvTermCriteria crit;
|
|
|
|
|
|
|
|
crit.type = CV_TERMCRIT_ITER|CV_TERMCRIT_EPS;
|
|
|
|
crit.max_iter = default_max_iters;
|
|
|
|
crit.epsilon = (float)default_eps;
|
|
|
|
|
|
|
|
if( (criteria.type & ~(CV_TERMCRIT_EPS | CV_TERMCRIT_ITER)) != 0 )
|
|
|
|
CV_Error( CV_StsBadArg,
|
|
|
|
"Unknown type of term criteria" );
|
|
|
|
|
|
|
|
if( (criteria.type & CV_TERMCRIT_ITER) != 0 )
|
|
|
|
{
|
|
|
|
if( criteria.max_iter <= 0 )
|
|
|
|
CV_Error( CV_StsBadArg,
|
|
|
|
"Iterations flag is set and maximum number of iterations is <= 0" );
|
|
|
|
crit.max_iter = criteria.max_iter;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( (criteria.type & CV_TERMCRIT_EPS) != 0 )
|
|
|
|
{
|
|
|
|
if( criteria.epsilon < 0 )
|
|
|
|
CV_Error( CV_StsBadArg, "Accuracy flag is set and epsilon is < 0" );
|
|
|
|
|
|
|
|
crit.epsilon = criteria.epsilon;
|
|
|
|
}
|
|
|
|
|
|
|
|
if( (criteria.type & (CV_TERMCRIT_EPS | CV_TERMCRIT_ITER)) == 0 )
|
|
|
|
CV_Error( CV_StsBadArg,
|
|
|
|
"Neither accuracy nor maximum iterations "
|
|
|
|
"number flags are set in criteria type" );
|
|
|
|
|
|
|
|
crit.epsilon = (float)MAX( 0, crit.epsilon );
|
|
|
|
crit.max_iter = MAX( 1, crit.max_iter );
|
|
|
|
|
|
|
|
return crit;
|
|
|
|
}
|
|
|
|
|
|
|
|
namespace cv
|
|
|
|
{
|
|
|
|
|
|
|
|
template<> void Ptr<CvMat>::delete_obj()
|
|
|
|
{ cvReleaseMat(&obj); }
|
|
|
|
|
|
|
|
template<> void Ptr<IplImage>::delete_obj()
|
|
|
|
{ cvReleaseImage(&obj); }
|
|
|
|
|
|
|
|
template<> void Ptr<CvMatND>::delete_obj()
|
|
|
|
{ cvReleaseMatND(&obj); }
|
|
|
|
|
|
|
|
template<> void Ptr<CvSparseMat>::delete_obj()
|
|
|
|
{ cvReleaseSparseMat(&obj); }
|
|
|
|
|
|
|
|
template<> void Ptr<CvMemStorage>::delete_obj()
|
|
|
|
{ cvReleaseMemStorage(&obj); }
|
|
|
|
|
|
|
|
template<> void Ptr<CvFileStorage>::delete_obj()
|
|
|
|
{ cvReleaseFileStorage(&obj); }
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
/* End of file. */
|