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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
/* ////////////////////////////////////////////////////////////////////
//
// CvMat basic operations: cvCopy, cvSet
//
// */
#include "_cxcore.h"
/////////////////////////////////////////////////////////////////////////////////////////
// //
// L/L COPY & SET FUNCTIONS //
// //
/////////////////////////////////////////////////////////////////////////////////////////
IPCVAPI_IMPL( CvStatus, icvCopy_8u_C1R, ( const uchar* src, int srcstep,
uchar* dst, int dststep, CvSize size ),
(src, srcstep, dst, dststep, size) )
{
for( ; size.height--; src += srcstep, dst += dststep )
memcpy( dst, src, size.width );
return CV_OK;
}
static CvStatus CV_STDCALL
icvSet_8u_C1R( uchar* dst, int dst_step, CvSize size,
const void* scalar, int pix_size )
{
int copy_len = 12*pix_size;
uchar* dst_limit = dst + size.width;
if( size.height-- )
{
while( dst + copy_len <= dst_limit )
{
memcpy( dst, scalar, copy_len );
dst += copy_len;
}
memcpy( dst, scalar, dst_limit - dst );
}
if( size.height )
{
dst = dst_limit - size.width + dst_step;
for( ; size.height--; dst += dst_step )
memcpy( dst, dst - dst_step, size.width );
}
return CV_OK;
}
/////////////////////////////////////////////////////////////////////////////////////////
// //
// L/L COPY WITH MASK FUNCTIONS //
// //
/////////////////////////////////////////////////////////////////////////////////////////
#define ICV_DEF_COPY_MASK_C1_CASE( type ) \
for( i = 0; i <= size.width-2; i += 2 ) \
{ \
if( mask[i] ) \
dst[i] = src[i]; \
if( mask[i+1] ) \
dst[i+1] = src[i+1]; \
} \
\
for( ; i < size.width; i++ ) \
{ \
if( mask[i] ) \
dst[i] = src[i]; \
}
#define ICV_DEF_COPY_MASK_C3_CASE( type ) \
for( i = 0; i < size.width; i++ ) \
if( mask[i] ) \
{ \
type t0 = src[i*3]; \
type t1 = src[i*3+1]; \
type t2 = src[i*3+2]; \
\
dst[i*3] = t0; \
dst[i*3+1] = t1; \
dst[i*3+2] = t2; \
}
#define ICV_DEF_COPY_MASK_C4_CASE( type ) \
for( i = 0; i < size.width; i++ ) \
if( mask[i] ) \
{ \
type t0 = src[i*4]; \
type t1 = src[i*4+1]; \
dst[i*4] = t0; \
dst[i*4+1] = t1; \
\
t0 = src[i*4+2]; \
t1 = src[i*4+3]; \
dst[i*4+2] = t0; \
dst[i*4+3] = t1; \
}
#define ICV_DEF_COPY_MASK_2D( name, type, cn ) \
IPCVAPI_IMPL( CvStatus, \
name,( const type* src, int srcstep, type* dst, int dststep,\
CvSize size, const uchar* mask, int maskstep ), \
(src, srcstep, dst, dststep, size, mask, maskstep)) \
{ \
srcstep /= sizeof(src[0]); dststep /= sizeof(dst[0]); \
for( ; size.height--; src += srcstep, \
dst += dststep, mask += maskstep ) \
{ \
int i; \
ICV_DEF_COPY_MASK_C##cn##_CASE( type ) \
} \
\
return CV_OK; \
}
#define ICV_DEF_SET_MASK_C1_CASE( type ) \
for( i = 0; i <= size.width-2; i += 2 ) \
{ \
if( mask[i] ) \
dst[i] = s0; \
if( mask[i+1] ) \
dst[i+1] = s0; \
} \
\
for( ; i < size.width; i++ ) \
{ \
if( mask[i] ) \
dst[i] = s0; \
}
#define ICV_DEF_SET_MASK_C3_CASE( type ) \
for( i = 0; i < size.width; i++ ) \
if( mask[i] ) \
{ \
dst[i*3] = s0; \
dst[i*3+1] = s1; \
dst[i*3+2] = s2; \
}
#define ICV_DEF_SET_MASK_C4_CASE( type ) \
for( i = 0; i < size.width; i++ ) \
if( mask[i] ) \
{ \
dst[i*4] = s0; \
dst[i*4+1] = s1; \
dst[i*4+2] = s2; \
dst[i*4+3] = s3; \
}
#define ICV_DEF_SET_MASK_2D( name, type, cn ) \
IPCVAPI_IMPL( CvStatus, \
name,( type* dst, int dststep, \
const uchar* mask, int maskstep, \
CvSize size, const type* scalar ), \
(dst, dststep, mask, maskstep, size, scalar))\
{ \
CV_UN_ENTRY_C##cn( type ); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; mask += maskstep, \
dst += dststep ) \
{ \
int i; \
ICV_DEF_SET_MASK_C##cn##_CASE( type ) \
} \
\
return CV_OK; \
}
ICV_DEF_SET_MASK_2D( icvSet_8u_C1MR, uchar, 1 )
ICV_DEF_SET_MASK_2D( icvSet_16s_C1MR, ushort, 1 )
ICV_DEF_SET_MASK_2D( icvSet_8u_C3MR, uchar, 3 )
ICV_DEF_SET_MASK_2D( icvSet_8u_C4MR, int, 1 )
ICV_DEF_SET_MASK_2D( icvSet_16s_C3MR, ushort, 3 )
ICV_DEF_SET_MASK_2D( icvSet_16s_C4MR, int64, 1 )
ICV_DEF_SET_MASK_2D( icvSet_32f_C3MR, int, 3 )
ICV_DEF_SET_MASK_2D( icvSet_32f_C4MR, int, 4 )
ICV_DEF_SET_MASK_2D( icvSet_64s_C3MR, int64, 3 )
ICV_DEF_SET_MASK_2D( icvSet_64s_C4MR, int64, 4 )
ICV_DEF_COPY_MASK_2D( icvCopy_8u_C1MR, uchar, 1 )
ICV_DEF_COPY_MASK_2D( icvCopy_16s_C1MR, ushort, 1 )
ICV_DEF_COPY_MASK_2D( icvCopy_8u_C3MR, uchar, 3 )
ICV_DEF_COPY_MASK_2D( icvCopy_8u_C4MR, int, 1 )
ICV_DEF_COPY_MASK_2D( icvCopy_16s_C3MR, ushort, 3 )
ICV_DEF_COPY_MASK_2D( icvCopy_16s_C4MR, int64, 1 )
ICV_DEF_COPY_MASK_2D( icvCopy_32f_C3MR, int, 3 )
ICV_DEF_COPY_MASK_2D( icvCopy_32f_C4MR, int, 4 )
ICV_DEF_COPY_MASK_2D( icvCopy_64s_C3MR, int64, 3 )
ICV_DEF_COPY_MASK_2D( icvCopy_64s_C4MR, int64, 4 )
#define CV_DEF_INIT_COPYSET_TAB_2D( FUNCNAME, FLAG ) \
static void icvInit##FUNCNAME##FLAG##Table( CvBtFuncTable* table ) \
{ \
table->fn_2d[1] = (void*)icv##FUNCNAME##_8u_C1##FLAG; \
table->fn_2d[2] = (void*)icv##FUNCNAME##_16s_C1##FLAG; \
table->fn_2d[3] = (void*)icv##FUNCNAME##_8u_C3##FLAG; \
table->fn_2d[4] = (void*)icv##FUNCNAME##_8u_C4##FLAG; \
table->fn_2d[6] = (void*)icv##FUNCNAME##_16s_C3##FLAG; \
table->fn_2d[8] = (void*)icv##FUNCNAME##_16s_C4##FLAG; \
table->fn_2d[12] = (void*)icv##FUNCNAME##_32f_C3##FLAG; \
table->fn_2d[16] = (void*)icv##FUNCNAME##_32f_C4##FLAG; \
table->fn_2d[24] = (void*)icv##FUNCNAME##_64s_C3##FLAG; \
table->fn_2d[32] = (void*)icv##FUNCNAME##_64s_C4##FLAG; \
}
CV_DEF_INIT_COPYSET_TAB_2D( Set, MR )
CV_DEF_INIT_COPYSET_TAB_2D( Copy, MR )
/////////////////////////////////////////////////////////////////////////////////////////
// //
// H/L COPY & SET FUNCTIONS //
// //
/////////////////////////////////////////////////////////////////////////////////////////
CvCopyMaskFunc
icvGetCopyMaskFunc( int elem_size )
{
static CvBtFuncTable copym_tab;
static int inittab = 0;
if( !inittab )
{
icvInitCopyMRTable( &copym_tab );
inittab = 1;
}
return (CvCopyMaskFunc)copym_tab.fn_2d[elem_size];
}
/* dst = src */
CV_IMPL void
cvCopy( const void* srcarr, void* dstarr, const void* maskarr )
{
CV_FUNCNAME( "cvCopy" );
__BEGIN__;
int pix_size;
CvMat srcstub, *src = (CvMat*)srcarr;
CvMat dststub, *dst = (CvMat*)dstarr;
CvSize size;
if( !CV_IS_MAT(src) || !CV_IS_MAT(dst) )
{
if( CV_IS_SPARSE_MAT(src) && CV_IS_SPARSE_MAT(dst))
{
CvSparseMat* src1 = (CvSparseMat*)src;
CvSparseMat* dst1 = (CvSparseMat*)dst;
CvSparseMatIterator iterator;
CvSparseNode* node;
dst1->dims = src1->dims;
memcpy( dst1->size, src1->size, src1->dims*sizeof(src1->size[0]));
dst1->valoffset = src1->valoffset;
dst1->idxoffset = src1->idxoffset;
cvClearSet( dst1->heap );
if( src1->heap->active_count >= dst1->hashsize*CV_SPARSE_HASH_RATIO )
{
CV_CALL( cvFree( &dst1->hashtable ));
dst1->hashsize = src1->hashsize;
CV_CALL( dst1->hashtable =
(void**)cvAlloc( dst1->hashsize*sizeof(dst1->hashtable[0])));
}
memset( dst1->hashtable, 0, dst1->hashsize*sizeof(dst1->hashtable[0]));
for( node = cvInitSparseMatIterator( src1, &iterator );
node != 0; node = cvGetNextSparseNode( &iterator ))
{
CvSparseNode* node_copy = (CvSparseNode*)cvSetNew( dst1->heap );
int tabidx = node->hashval & (dst1->hashsize - 1);
CV_MEMCPY_AUTO( node_copy, node, dst1->heap->elem_size );
node_copy->next = (CvSparseNode*)dst1->hashtable[tabidx];
dst1->hashtable[tabidx] = node_copy;
}
EXIT;
}
else if( CV_IS_MATND(src) || CV_IS_MATND(dst) )
{
CvArr* arrs[] = { src, dst };
CvMatND stubs[3];
CvNArrayIterator iterator;
CV_CALL( cvInitNArrayIterator( 2, arrs, maskarr, stubs, &iterator ));
pix_size = CV_ELEM_SIZE(iterator.hdr[0]->type);
if( !maskarr )
{
iterator.size.width *= pix_size;
if( iterator.size.width <= CV_MAX_INLINE_MAT_OP_SIZE*(int)sizeof(double))
{
do
{
memcpy( iterator.ptr[1], iterator.ptr[0], iterator.size.width );
}
while( cvNextNArraySlice( &iterator ));
}
else
{
do
{
icvCopy_8u_C1R( iterator.ptr[0], CV_STUB_STEP,
iterator.ptr[1], CV_STUB_STEP, iterator.size );
}
while( cvNextNArraySlice( &iterator ));
}
}
else
{
CvCopyMaskFunc func = icvGetCopyMaskFunc( pix_size );
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
do
{
func( iterator.ptr[0], CV_STUB_STEP,
iterator.ptr[1], CV_STUB_STEP,
iterator.size,
iterator.ptr[2], CV_STUB_STEP );
}
while( cvNextNArraySlice( &iterator ));
}
EXIT;
}
else
{
int coi1 = 0, coi2 = 0;
CV_CALL( src = cvGetMat( src, &srcstub, &coi1 ));
CV_CALL( dst = cvGetMat( dst, &dststub, &coi2 ));
if( coi1 )
{
CvArr* planes[] = { 0, 0, 0, 0 };
if( maskarr )
CV_ERROR( CV_StsBadArg, "COI + mask are not supported" );
planes[coi1-1] = dst;
CV_CALL( cvSplit( src, planes[0], planes[1], planes[2], planes[3] ));
EXIT;
}
else if( coi2 )
{
CvArr* planes[] = { 0, 0, 0, 0 };
if( maskarr )
CV_ERROR( CV_StsBadArg, "COI + mask are not supported" );
planes[coi2-1] = src;
CV_CALL( cvMerge( planes[0], planes[1], planes[2], planes[3], dst ));
EXIT;
}
}
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR_FROM_CODE( CV_StsUnmatchedFormats );
if( !CV_ARE_SIZES_EQ( src, dst ))
CV_ERROR_FROM_CODE( CV_StsUnmatchedSizes );
size = cvGetMatSize( src );
pix_size = CV_ELEM_SIZE(src->type);
if( !maskarr )
{
int src_step = src->step, dst_step = dst->step;
size.width *= pix_size;
if( CV_IS_MAT_CONT( src->type & dst->type ) && (src_step == dst_step) && (src_step == src->width * pix_size))
{
size.width *= size.height;
if( size.width <= CV_MAX_INLINE_MAT_OP_SIZE*
CV_MAX_INLINE_MAT_OP_SIZE*(int)sizeof(double))
{
memcpy( dst->data.ptr, src->data.ptr, size.width );
EXIT;
}
size.height = 1;
src_step = dst_step = CV_STUB_STEP;
}
if( src->data.ptr != dst->data.ptr )
icvCopy_8u_C1R( src->data.ptr, src_step,
dst->data.ptr, dst_step, size );
}
else
{
CvCopyMaskFunc func = icvGetCopyMaskFunc(pix_size);
CvMat maskstub, *mask = (CvMat*)maskarr;
int src_step = src->step;
int dst_step = dst->step;
int mask_step;
if( !CV_IS_MAT( mask ))
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( src, mask ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
mask_step = mask->step;
if( CV_IS_MAT_CONT( src->type & dst->type & mask->type ))
{
size.width *= size.height;
size.height = 1;
src_step = dst_step = mask_step = CV_STUB_STEP;
}
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
IPPI_CALL( func( src->data.ptr, src_step, dst->data.ptr, dst_step,
size, mask->data.ptr, mask_step ));
}
__END__;
}
/* dst(idx) = value */
CV_IMPL void
cvSet( void* arr, CvScalar value, const void* maskarr )
{
static CvBtFuncTable setm_tab;
static int inittab = 0;
CV_FUNCNAME( "cvSet" );
__BEGIN__;
CvMat stub, *mat = (CvMat*)arr;
int pix_size, type;
double buf[12];
int mat_step;
CvSize size;
if( !value.val[0] && !value.val[1] &&
!value.val[2] && !value.val[3] && !maskarr )
{
cvZero( arr );
EXIT;
}
if( !CV_IS_MAT(mat))
{
if( CV_IS_MATND(mat))
{
CvMatND nstub;
CvNArrayIterator iterator;
int pix_size1;
CV_CALL( cvInitNArrayIterator( 1, &arr, maskarr, &nstub, &iterator ));
type = CV_MAT_TYPE(iterator.hdr[0]->type);
pix_size1 = CV_ELEM_SIZE1(type);
pix_size = pix_size1*CV_MAT_CN(type);
CV_CALL( cvScalarToRawData( &value, buf, type, maskarr == 0 ));
if( !maskarr )
{
iterator.size.width *= pix_size;
do
{
icvSet_8u_C1R( iterator.ptr[0], CV_STUB_STEP,
iterator.size, buf, pix_size1 );
}
while( cvNextNArraySlice( &iterator ));
}
else
{
CvFunc2D_2A1P func = (CvFunc2D_2A1P)(setm_tab.fn_2d[pix_size]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
do
{
func( iterator.ptr[0], CV_STUB_STEP,
iterator.ptr[1], CV_STUB_STEP,
iterator.size, buf );
}
while( cvNextNArraySlice( &iterator ));
}
EXIT;
}
else
{
int coi = 0;
CV_CALL( mat = cvGetMat( mat, &stub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "" );
}
}
type = CV_MAT_TYPE( mat->type );
pix_size = CV_ELEM_SIZE(type);
size = cvGetMatSize( mat );
mat_step = mat->step;
if( !maskarr )
{
if( CV_IS_MAT_CONT( mat->type ))
{
size.width *= size.height;
if( size.width <= (int)(CV_MAX_INLINE_MAT_OP_SIZE*sizeof(double)))
{
if( type == CV_32FC1 )
{
float* dstdata = (float*)(mat->data.ptr);
float val = (float)value.val[0];
do
{
dstdata[size.width-1] = val;
}
while( --size.width );
EXIT;
}
if( type == CV_64FC1 )
{
double* dstdata = (double*)(mat->data.ptr);
double val = value.val[0];
do
{
dstdata[size.width-1] = val;
}
while( --size.width );
EXIT;
}
}
mat_step = CV_STUB_STEP;
size.height = 1;
}
size.width *= pix_size;
CV_CALL( cvScalarToRawData( &value, buf, type, 1 ));
IPPI_CALL( icvSet_8u_C1R( mat->data.ptr, mat_step, size, buf,
CV_ELEM_SIZE1(type)));
}
else
{
CvFunc2D_2A1P func;
CvMat maskstub, *mask = (CvMat*)maskarr;
int mask_step;
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( !inittab )
{
icvInitSetMRTable( &setm_tab );
inittab = 1;
}
if( !CV_ARE_SIZES_EQ( mat, mask ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
mask_step = mask->step;
if( CV_IS_MAT_CONT( mat->type & mask->type ))
{
size.width *= size.height;
mat_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
func = (CvFunc2D_2A1P)(setm_tab.fn_2d[pix_size]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( cvScalarToRawData( &value, buf, type, 0 ));
IPPI_CALL( func( mat->data.ptr, mat_step, mask->data.ptr,
mask_step, size, buf ));
}
__END__;
}
/****************************************************************************************\
* Clearing *
\****************************************************************************************/
icvSetByte_8u_C1R_t icvSetByte_8u_C1R_p = 0;
CvStatus CV_STDCALL
icvSetZero_8u_C1R( uchar* dst, int dststep, CvSize size )
{
if( size.width + size.height > 256 && icvSetByte_8u_C1R_p )
return icvSetByte_8u_C1R_p( 0, dst, dststep, size );
for( ; size.height--; dst += dststep )
memset( dst, 0, size.width );
return CV_OK;
}
CV_IMPL void
cvSetZero( CvArr* arr )
{
CV_FUNCNAME( "cvSetZero" );
__BEGIN__;
CvMat stub, *mat = (CvMat*)arr;
CvSize size;
int mat_step;
if( !CV_IS_MAT( mat ))
{
if( CV_IS_MATND(mat))
{
CvMatND nstub;
CvNArrayIterator iterator;
CV_CALL( cvInitNArrayIterator( 1, &arr, 0, &nstub, &iterator ));
iterator.size.width *= CV_ELEM_SIZE(iterator.hdr[0]->type);
if( iterator.size.width <= CV_MAX_INLINE_MAT_OP_SIZE*(int)sizeof(double) )
{
do
{
memset( iterator.ptr[0], 0, iterator.size.width );
}
while( cvNextNArraySlice( &iterator ));
}
else
{
do
{
icvSetZero_8u_C1R( iterator.ptr[0], CV_STUB_STEP, iterator.size );
}
while( cvNextNArraySlice( &iterator ));
}
EXIT;
}
else if( CV_IS_SPARSE_MAT(mat))
{
CvSparseMat* mat1 = (CvSparseMat*)mat;
cvClearSet( mat1->heap );
if( mat1->hashtable )
memset( mat1->hashtable, 0, mat1->hashsize*sizeof(mat1->hashtable[0]));
EXIT;
}
else
{
int coi = 0;
CV_CALL( mat = cvGetMat( mat, &stub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
}
size = cvGetMatSize( mat );
size.width *= CV_ELEM_SIZE(mat->type);
mat_step = mat->step;
if( CV_IS_MAT_CONT( mat->type ))
{
size.width *= size.height;
if( size.width <= CV_MAX_INLINE_MAT_OP_SIZE*(int)sizeof(double) )
{
memset( mat->data.ptr, 0, size.width );
EXIT;
}
mat_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( icvSetZero_8u_C1R( mat->data.ptr, mat_step, size ));
__END__;
}
/****************************************************************************************\
* Flipping *
\****************************************************************************************/
#define ICV_DEF_FLIP_HZ_CASE_C1( type ) \
for( i = 0; i < (len+1)/2; i++ ) \
{ \
type t0 = src[i]; \
type t1 = src[len - i - 1]; \
dst[i] = t1; \
dst[len - i - 1] = t0; \
}
#define ICV_DEF_FLIP_HZ_CASE_C3( type ) \
for( i = 0; i < (len+1)/2; i++ ) \
{ \
type t0 = src[i*3]; \
type t1 = src[(len - i)*3 - 3]; \
dst[i*3] = t1; \
dst[(len - i)*3 - 3] = t0; \
t0 = src[i*3 + 1]; \
t1 = src[(len - i)*3 - 2]; \
dst[i*3 + 1] = t1; \
dst[(len - i)*3 - 2] = t0; \
t0 = src[i*3 + 2]; \
t1 = src[(len - i)*3 - 1]; \
dst[i*3 + 2] = t1; \
dst[(len - i)*3 - 1] = t0; \
}
#define ICV_DEF_FLIP_HZ_CASE_C4( type ) \
for( i = 0; i < (len+1)/2; i++ ) \
{ \
type t0 = src[i*4]; \
type t1 = src[(len - i)*4 - 4]; \
dst[i*4] = t1; \
dst[(len - i)*4 - 4] = t0; \
t0 = src[i*4 + 1]; \
t1 = src[(len - i)*4 - 3]; \
dst[i*4 + 1] = t1; \
dst[(len - i)*4 - 3] = t0; \
t0 = src[i*4 + 2]; \
t1 = src[(len - i)*4 - 2]; \
dst[i*4 + 2] = t1; \
dst[(len - i)*4 - 2] = t0; \
t0 = src[i*4 + 3]; \
t1 = src[(len - i)*4 - 1]; \
dst[i*4 + 3] = t1; \
dst[(len - i)*4 - 1] = t0; \
}
#define ICV_DEF_FLIP_HZ_FUNC( flavor, arrtype, cn ) \
static CvStatus CV_STDCALL \
icvFlipHorz_##flavor( const arrtype* src, int srcstep, \
arrtype* dst, int dststep, CvSize size ) \
{ \
int i, len = size.width; \
srcstep /= sizeof(src[0]); dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, dst += dststep ) \
{ \
ICV_DEF_FLIP_HZ_CASE_C##cn( arrtype ) \
} \
\
return CV_OK; \
}
ICV_DEF_FLIP_HZ_FUNC( 8u_C1R, uchar, 1 )
ICV_DEF_FLIP_HZ_FUNC( 8u_C2R, ushort, 1 )
ICV_DEF_FLIP_HZ_FUNC( 8u_C3R, uchar, 3 )
ICV_DEF_FLIP_HZ_FUNC( 16u_C2R, int, 1 )
ICV_DEF_FLIP_HZ_FUNC( 16u_C3R, ushort, 3 )
ICV_DEF_FLIP_HZ_FUNC( 32s_C2R, int64, 1 )
ICV_DEF_FLIP_HZ_FUNC( 32s_C3R, int, 3 )
ICV_DEF_FLIP_HZ_FUNC( 64s_C2R, int, 4 )
ICV_DEF_FLIP_HZ_FUNC( 64s_C3R, int64, 3 )
ICV_DEF_FLIP_HZ_FUNC( 64s_C4R, int64, 4 )
CV_DEF_INIT_PIXSIZE_TAB_2D( FlipHorz, R )
static CvStatus
icvFlipVert_8u_C1R( const uchar* src, int srcstep,
uchar* dst, int dststep, CvSize size )
{
int y, i;
const uchar* src1 = src + (size.height - 1)*srcstep;
uchar* dst1 = dst + (size.height - 1)*dststep;
for( y = 0; y < (size.height + 1)/2; y++, src += srcstep, src1 -= srcstep,
dst += dststep, dst1 -= dststep )
{
i = 0;
if( ((size_t)(src)|(size_t)(dst)|(size_t)src1|(size_t)dst1) % sizeof(int) == 0 )
{
for( ; i <= size.width - 16; i += 16 )
{
int t0 = ((int*)(src + i))[0];
int t1 = ((int*)(src1 + i))[0];
((int*)(dst + i))[0] = t1;
((int*)(dst1 + i))[0] = t0;
t0 = ((int*)(src + i))[1];
t1 = ((int*)(src1 + i))[1];
((int*)(dst + i))[1] = t1;
((int*)(dst1 + i))[1] = t0;
t0 = ((int*)(src + i))[2];
t1 = ((int*)(src1 + i))[2];
((int*)(dst + i))[2] = t1;
((int*)(dst1 + i))[2] = t0;
t0 = ((int*)(src + i))[3];
t1 = ((int*)(src1 + i))[3];
((int*)(dst + i))[3] = t1;
((int*)(dst1 + i))[3] = t0;
}
for( ; i <= size.width - 4; i += 4 )
{
int t0 = ((int*)(src + i))[0];
int t1 = ((int*)(src1 + i))[0];
((int*)(dst + i))[0] = t1;
((int*)(dst1 + i))[0] = t0;
}
}
for( ; i < size.width; i++ )
{
uchar t0 = src[i];
uchar t1 = src1[i];
dst[i] = t1;
dst1[i] = t0;
}
}
return CV_OK;
}
CV_IMPL void
cvFlip( const CvArr* srcarr, CvArr* dstarr, int flip_mode )
{
static CvBtFuncTable tab;
static int inittab = 0;
CV_FUNCNAME( "cvFlip" );
__BEGIN__;
CvMat sstub, *src = (CvMat*)srcarr;
CvMat dstub, *dst = (CvMat*)dstarr;
CvSize size;
CvFunc2D_2A func = 0;
int pix_size;
if( !inittab )
{
icvInitFlipHorzRTable( &tab );
inittab = 1;
}
if( !CV_IS_MAT( src ))
{
int coi = 0;
CV_CALL( src = cvGetMat( src, &sstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !dst )
dst = src;
else if( !CV_IS_MAT( dst ))
{
int coi = 0;
CV_CALL( dst = cvGetMat( dst, &dstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( !CV_ARE_SIZES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
size = cvGetMatSize( src );
pix_size = CV_ELEM_SIZE( src->type );
if( flip_mode == 0 )
{
size.width *= pix_size;
IPPI_CALL( icvFlipVert_8u_C1R( src->data.ptr, src->step,
dst->data.ptr, dst->step, size ));
}
else
{
int inplace = src->data.ptr == dst->data.ptr;
uchar* dst_data = dst->data.ptr;
int dst_step = dst->step;
func = (CvFunc2D_2A)(tab.fn_2d[pix_size]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
if( flip_mode < 0 && !inplace )
{
dst_data += dst_step * (dst->height - 1);
dst_step = -dst_step;
}
IPPI_CALL( func( src->data.ptr, src->step, dst_data, dst_step, size ));
if( flip_mode < 0 && inplace )
{
size.width *= pix_size;
IPPI_CALL( icvFlipVert_8u_C1R( dst->data.ptr, dst->step,
dst->data.ptr, dst->step, size ));
}
}
__END__;
}
CV_IMPL void
cvRepeat( const CvArr* srcarr, CvArr* dstarr )
{
CV_FUNCNAME( "cvRepeat" );
__BEGIN__;
CvMat sstub, *src = (CvMat*)srcarr;
CvMat dstub, *dst = (CvMat*)dstarr;
CvSize srcsize, dstsize;
int pix_size;
int x, y, k, l;
if( !CV_IS_MAT( src ))
{
int coi = 0;
CV_CALL( src = cvGetMat( src, &sstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !CV_IS_MAT( dst ))
{
int coi = 0;
CV_CALL( dst = cvGetMat( dst, &dstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
srcsize = cvGetMatSize( src );
dstsize = cvGetMatSize( dst );
pix_size = CV_ELEM_SIZE( src->type );
for( y = 0, k = 0; y < dstsize.height; y++ )
{
for( x = 0; x < dstsize.width; x += srcsize.width )
{
l = srcsize.width;
if( l > dstsize.width - x )
l = dstsize.width - x;
memcpy( dst->data.ptr + y*dst->step + x*pix_size,
src->data.ptr + k*src->step, l*pix_size );
}
if( ++k == srcsize.height )
k = 0;
}
__END__;
}
/* End of file. */