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//
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// 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.
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//
// 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.
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// * Redistribution's in binary form must reproduce the above copyright notice,
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//M*/
#include "_cv.h"
#define ICV_DEF_ACC_FUNC( name, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, \
name,( const srctype *src, int srcstep, dsttype *dst, \
int dststep, CvSize size ), (src, srcstep, dst, dststep, size )) \
\
{ \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, dst += dststep ) \
{ \
int x; \
for( x = 0; x <= size.width - 4; x += 4 ) \
{ \
dsttype t0 = dst[x] + cvtmacro(src[x]); \
dsttype t1 = dst[x + 1] + cvtmacro(src[x + 1]); \
dst[x] = t0; dst[x + 1] = t1; \
\
t0 = dst[x + 2] + cvtmacro(src[x + 2]); \
t1 = dst[x + 3] + cvtmacro(src[x + 3]); \
dst[x + 2] = t0; dst[x + 3] = t1; \
} \
\
for( ; x < size.width; x++ ) \
dst[x] += cvtmacro(src[x]); \
} \
\
return CV_OK; \
}
ICV_DEF_ACC_FUNC( icvAdd_8u32f_C1IR, uchar, float, CV_8TO32F )
ICV_DEF_ACC_FUNC( icvAdd_32f_C1IR, float, float, CV_NOP )
ICV_DEF_ACC_FUNC( icvAddSquare_8u32f_C1IR, uchar, float, CV_8TO32F_SQR )
ICV_DEF_ACC_FUNC( icvAddSquare_32f_C1IR, float, float, CV_SQR )
#define ICV_DEF_ACCPROD_FUNC( flavor, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, icvAddProduct_##flavor##_C1IR, \
( const srctype *src1, int step1, const srctype *src2, int step2, \
dsttype *dst, int dststep, CvSize size ), \
(src1, step1, src2, step2, dst, dststep, size) ) \
{ \
step1 /= sizeof(src1[0]); \
step2 /= sizeof(src2[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src1 += step1, src2 += step2, dst += dststep ) \
{ \
int x; \
for( x = 0; x <= size.width - 4; x += 4 ) \
{ \
dsttype t0 = dst[x] + cvtmacro(src1[x])*cvtmacro(src2[x]); \
dsttype t1 = dst[x+1] + cvtmacro(src1[x+1])*cvtmacro(src2[x+1]);\
dst[x] = t0; dst[x + 1] = t1; \
\
t0 = dst[x + 2] + cvtmacro(src1[x + 2])*cvtmacro(src2[x + 2]); \
t1 = dst[x + 3] + cvtmacro(src1[x + 3])*cvtmacro(src2[x + 3]); \
dst[x + 2] = t0; dst[x + 3] = t1; \
} \
\
for( ; x < size.width; x++ ) \
dst[x] += cvtmacro(src1[x])*cvtmacro(src2[x]); \
} \
\
return CV_OK; \
}
ICV_DEF_ACCPROD_FUNC( 8u32f, uchar, float, CV_8TO32F )
ICV_DEF_ACCPROD_FUNC( 32f, float, float, CV_NOP )
#define ICV_DEF_ACCWEIGHT_FUNC( flavor, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, icvAddWeighted_##flavor##_C1IR, \
( const srctype *src, int srcstep, dsttype *dst, int dststep, \
CvSize size, dsttype alpha ), (src, srcstep, dst, dststep, size, alpha) )\
{ \
dsttype beta = (dsttype)(1 - alpha); \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, dst += dststep ) \
{ \
int x; \
for( x = 0; x <= size.width - 4; x += 4 ) \
{ \
dsttype t0 = dst[x]*beta + cvtmacro(src[x])*alpha; \
dsttype t1 = dst[x+1]*beta + cvtmacro(src[x+1])*alpha; \
dst[x] = t0; dst[x + 1] = t1; \
\
t0 = dst[x + 2]*beta + cvtmacro(src[x + 2])*alpha; \
t1 = dst[x + 3]*beta + cvtmacro(src[x + 3])*alpha; \
dst[x + 2] = t0; dst[x + 3] = t1; \
} \
\
for( ; x < size.width; x++ ) \
dst[x] = dst[x]*beta + cvtmacro(src[x])*alpha; \
} \
\
return CV_OK; \
}
ICV_DEF_ACCWEIGHT_FUNC( 8u32f, uchar, float, CV_8TO32F )
ICV_DEF_ACCWEIGHT_FUNC( 32f, float, float, CV_NOP )
#define ICV_DEF_ACCMASK_FUNC_C1( name, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, \
name,( const srctype *src, int srcstep, const uchar* mask, int maskstep,\
dsttype *dst, int dststep, CvSize size ), \
(src, srcstep, mask, maskstep, dst, dststep, size )) \
{ \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, \
dst += dststep, mask += maskstep ) \
{ \
int x; \
for( x = 0; x <= size.width - 2; x += 2 ) \
{ \
if( mask[x] ) \
dst[x] += cvtmacro(src[x]); \
if( mask[x+1] ) \
dst[x+1] += cvtmacro(src[x+1]); \
} \
\
for( ; x < size.width; x++ ) \
if( mask[x] ) \
dst[x] += cvtmacro(src[x]); \
} \
\
return CV_OK; \
}
ICV_DEF_ACCMASK_FUNC_C1( icvAdd_8u32f_C1IMR, uchar, float, CV_8TO32F )
ICV_DEF_ACCMASK_FUNC_C1( icvAdd_32f_C1IMR, float, float, CV_NOP )
ICV_DEF_ACCMASK_FUNC_C1( icvAddSquare_8u32f_C1IMR, uchar, float, CV_8TO32F_SQR )
ICV_DEF_ACCMASK_FUNC_C1( icvAddSquare_32f_C1IMR, float, float, CV_SQR )
#define ICV_DEF_ACCPRODUCTMASK_FUNC_C1( flavor, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, icvAddProduct_##flavor##_C1IMR, \
( const srctype *src1, int step1, const srctype* src2, int step2, \
const uchar* mask, int maskstep, dsttype *dst, int dststep, CvSize size ),\
(src1, step1, src2, step2, mask, maskstep, dst, dststep, size )) \
{ \
step1 /= sizeof(src1[0]); \
step2 /= sizeof(src2[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src1 += step1, src2 += step2, \
dst += dststep, mask += maskstep ) \
{ \
int x; \
for( x = 0; x <= size.width - 2; x += 2 ) \
{ \
if( mask[x] ) \
dst[x] += cvtmacro(src1[x])*cvtmacro(src2[x]); \
if( mask[x+1] ) \
dst[x+1] += cvtmacro(src1[x+1])*cvtmacro(src2[x+1]); \
} \
\
for( ; x < size.width; x++ ) \
if( mask[x] ) \
dst[x] += cvtmacro(src1[x])*cvtmacro(src2[x]); \
} \
\
return CV_OK; \
}
ICV_DEF_ACCPRODUCTMASK_FUNC_C1( 8u32f, uchar, float, CV_8TO32F )
ICV_DEF_ACCPRODUCTMASK_FUNC_C1( 32f, float, float, CV_NOP )
#define ICV_DEF_ACCWEIGHTMASK_FUNC_C1( flavor, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, icvAddWeighted_##flavor##_C1IMR, \
( const srctype *src, int srcstep, const uchar* mask, int maskstep, \
dsttype *dst, int dststep, CvSize size, dsttype alpha ), \
(src, srcstep, mask, maskstep, dst, dststep, size, alpha )) \
{ \
dsttype beta = (dsttype)(1 - alpha); \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, \
dst += dststep, mask += maskstep ) \
{ \
int x; \
for( x = 0; x <= size.width - 2; x += 2 ) \
{ \
if( mask[x] ) \
dst[x] = dst[x]*beta + cvtmacro(src[x])*alpha; \
if( mask[x+1] ) \
dst[x+1] = dst[x+1]*beta + cvtmacro(src[x+1])*alpha; \
} \
\
for( ; x < size.width; x++ ) \
if( mask[x] ) \
dst[x] = dst[x]*beta + cvtmacro(src[x])*alpha; \
} \
\
return CV_OK; \
}
ICV_DEF_ACCWEIGHTMASK_FUNC_C1( 8u32f, uchar, float, CV_8TO32F )
ICV_DEF_ACCWEIGHTMASK_FUNC_C1( 32f, float, float, CV_NOP )
#define ICV_DEF_ACCMASK_FUNC_C3( name, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, \
name,( const srctype *src, int srcstep, const uchar* mask, int maskstep,\
dsttype *dst, int dststep, CvSize size ), \
(src, srcstep, mask, maskstep, dst, dststep, size )) \
{ \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, \
dst += dststep, mask += maskstep ) \
{ \
int x; \
for( x = 0; x < size.width; x++ ) \
if( mask[x] ) \
{ \
dsttype t0, t1, t2; \
t0 = dst[x*3] + cvtmacro(src[x*3]); \
t1 = dst[x*3+1] + cvtmacro(src[x*3+1]); \
t2 = dst[x*3+2] + cvtmacro(src[x*3+2]); \
dst[x*3] = t0; \
dst[x*3+1] = t1; \
dst[x*3+2] = t2; \
} \
} \
\
return CV_OK; \
}
ICV_DEF_ACCMASK_FUNC_C3( icvAdd_8u32f_C3IMR, uchar, float, CV_8TO32F )
ICV_DEF_ACCMASK_FUNC_C3( icvAdd_32f_C3IMR, float, float, CV_NOP )
ICV_DEF_ACCMASK_FUNC_C3( icvAddSquare_8u32f_C3IMR, uchar, float, CV_8TO32F_SQR )
ICV_DEF_ACCMASK_FUNC_C3( icvAddSquare_32f_C3IMR, float, float, CV_SQR )
#define ICV_DEF_ACCPRODUCTMASK_FUNC_C3( flavor, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, icvAddProduct_##flavor##_C3IMR, \
( const srctype *src1, int step1, const srctype* src2, int step2, \
const uchar* mask, int maskstep, dsttype *dst, int dststep, CvSize size ),\
(src1, step1, src2, step2, mask, maskstep, dst, dststep, size )) \
{ \
step1 /= sizeof(src1[0]); \
step2 /= sizeof(src2[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src1 += step1, src2 += step2, \
dst += dststep, mask += maskstep ) \
{ \
int x; \
for( x = 0; x < size.width; x++ ) \
if( mask[x] ) \
{ \
dsttype t0, t1, t2; \
t0 = dst[x*3]+cvtmacro(src1[x*3])*cvtmacro(src2[x*3]); \
t1 = dst[x*3+1]+cvtmacro(src1[x*3+1])*cvtmacro(src2[x*3+1]);\
t2 = dst[x*3+2]+cvtmacro(src1[x*3+2])*cvtmacro(src2[x*3+2]);\
dst[x*3] = t0; \
dst[x*3+1] = t1; \
dst[x*3+2] = t2; \
} \
} \
\
return CV_OK; \
}
ICV_DEF_ACCPRODUCTMASK_FUNC_C3( 8u32f, uchar, float, CV_8TO32F )
ICV_DEF_ACCPRODUCTMASK_FUNC_C3( 32f, float, float, CV_NOP )
#define ICV_DEF_ACCWEIGHTMASK_FUNC_C3( flavor, srctype, dsttype, cvtmacro ) \
IPCVAPI_IMPL( CvStatus, icvAddWeighted_##flavor##_C3IMR, \
( const srctype *src, int srcstep, const uchar* mask, int maskstep, \
dsttype *dst, int dststep, CvSize size, dsttype alpha ), \
(src, srcstep, mask, maskstep, dst, dststep, size, alpha )) \
{ \
dsttype beta = (dsttype)(1 - alpha); \
srcstep /= sizeof(src[0]); \
dststep /= sizeof(dst[0]); \
\
for( ; size.height--; src += srcstep, \
dst += dststep, mask += maskstep ) \
{ \
int x; \
for( x = 0; x < size.width; x++ ) \
if( mask[x] ) \
{ \
dsttype t0, t1, t2; \
t0 = dst[x*3]*beta + cvtmacro(src[x*3])*alpha; \
t1 = dst[x*3+1]*beta + cvtmacro(src[x*3+1])*alpha; \
t2 = dst[x*3+2]*beta + cvtmacro(src[x*3+2])*alpha; \
dst[x*3] = t0; \
dst[x*3+1] = t1; \
dst[x*3+2] = t2; \
} \
} \
\
return CV_OK; \
}
ICV_DEF_ACCWEIGHTMASK_FUNC_C3( 8u32f, uchar, float, CV_8TO32F )
ICV_DEF_ACCWEIGHTMASK_FUNC_C3( 32f, float, float, CV_NOP )
#define ICV_DEF_INIT_ACC_TAB( FUNCNAME ) \
static void icvInit##FUNCNAME##Table( CvFuncTable* tab, CvBigFuncTable* masktab ) \
{ \
tab->fn_2d[CV_8U] = (void*)icv##FUNCNAME##_8u32f_C1IR; \
tab->fn_2d[CV_32F] = (void*)icv##FUNCNAME##_32f_C1IR; \
\
masktab->fn_2d[CV_8UC1] = (void*)icv##FUNCNAME##_8u32f_C1IMR; \
masktab->fn_2d[CV_32FC1] = (void*)icv##FUNCNAME##_32f_C1IMR; \
\
masktab->fn_2d[CV_8UC3] = (void*)icv##FUNCNAME##_8u32f_C3IMR; \
masktab->fn_2d[CV_32FC3] = (void*)icv##FUNCNAME##_32f_C3IMR; \
}
ICV_DEF_INIT_ACC_TAB( Add )
ICV_DEF_INIT_ACC_TAB( AddSquare )
ICV_DEF_INIT_ACC_TAB( AddProduct )
ICV_DEF_INIT_ACC_TAB( AddWeighted )
CV_IMPL void
cvAcc( const void* arr, void* sumarr, const void* maskarr )
{
static CvFuncTable acc_tab;
static CvBigFuncTable accmask_tab;
static int inittab = 0;
CV_FUNCNAME( "cvAcc" );
__BEGIN__;
int type, sumdepth;
int mat_step, sum_step, mask_step = 0;
CvSize size;
CvMat stub, *mat = (CvMat*)arr;
CvMat sumstub, *sum = (CvMat*)sumarr;
CvMat maskstub, *mask = (CvMat*)maskarr;
if( !inittab )
{
icvInitAddTable( &acc_tab, &accmask_tab );
inittab = 1;
}
if( !CV_IS_MAT( mat ) || !CV_IS_MAT( sum ))
{
int coi1 = 0, coi2 = 0;
CV_CALL( mat = cvGetMat( mat, &stub, &coi1 ));
CV_CALL( sum = cvGetMat( sum, &sumstub, &coi2 ));
if( coi1 + coi2 != 0 )
CV_ERROR( CV_BadCOI, "" );
}
if( CV_MAT_DEPTH( sum->type ) != CV_32F )
CV_ERROR( CV_BadDepth, "" );
if( !CV_ARE_CNS_EQ( mat, sum ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
sumdepth = CV_MAT_DEPTH( sum->type );
if( sumdepth != CV_32F && (maskarr != 0 || sumdepth != CV_64F))
CV_ERROR( CV_BadDepth, "Bad accumulator type" );
if( !CV_ARE_SIZES_EQ( mat, sum ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
size = cvGetMatSize( mat );
type = CV_MAT_TYPE( mat->type );
mat_step = mat->step;
sum_step = sum->step;
if( !mask )
{
CvFunc2D_2A func=(CvFunc2D_2A)acc_tab.fn_2d[CV_MAT_DEPTH(type)];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "Unsupported type combination" );
size.width *= CV_MAT_CN(type);
if( CV_IS_MAT_CONT( mat->type & sum->type ))
{
size.width *= size.height;
mat_step = sum_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat->data.ptr, mat_step, sum->data.ptr, sum_step, size ));
}
else
{
CvFunc2D_3A func = (CvFunc2D_3A)accmask_tab.fn_2d[type];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( mat, mask ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
mask_step = mask->step;
if( CV_IS_MAT_CONT( mat->type & sum->type & mask->type ))
{
size.width *= size.height;
mat_step = sum_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat->data.ptr, mat_step, mask->data.ptr, mask_step,
sum->data.ptr, sum_step, size ));
}
__END__;
}
CV_IMPL void
cvSquareAcc( const void* arr, void* sq_sum, const void* maskarr )
{
static CvFuncTable acc_tab;
static CvBigFuncTable accmask_tab;
static int inittab = 0;
CV_FUNCNAME( "cvSquareAcc" );
__BEGIN__;
int coi1, coi2;
int type;
int mat_step, sum_step, mask_step = 0;
CvSize size;
CvMat stub, *mat = (CvMat*)arr;
CvMat sumstub, *sum = (CvMat*)sq_sum;
CvMat maskstub, *mask = (CvMat*)maskarr;
if( !inittab )
{
icvInitAddSquareTable( &acc_tab, &accmask_tab );
inittab = 1;
}
CV_CALL( mat = cvGetMat( mat, &stub, &coi1 ));
CV_CALL( sum = cvGetMat( sum, &sumstub, &coi2 ));
if( coi1 != 0 || coi2 != 0 )
CV_ERROR( CV_BadCOI, "" );
if( !CV_ARE_CNS_EQ( mat, sum ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( CV_MAT_DEPTH( sum->type ) != CV_32F )
CV_ERROR( CV_BadDepth, "" );
if( !CV_ARE_SIZES_EQ( mat, sum ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
size = cvGetMatSize( mat );
type = CV_MAT_TYPE( mat->type );
mat_step = mat->step;
sum_step = sum->step;
if( !mask )
{
CvFunc2D_2A func = (CvFunc2D_2A)acc_tab.fn_2d[CV_MAT_DEPTH(type)];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
size.width *= CV_MAT_CN(type);
if( CV_IS_MAT_CONT( mat->type & sum->type ))
{
size.width *= size.height;
mat_step = sum_step = CV_STUB_STEP;;
size.height = 1;
}
IPPI_CALL( func( mat->data.ptr, mat_step, sum->data.ptr, sum_step, size ));
}
else
{
CvFunc2D_3A func = (CvFunc2D_3A)accmask_tab.fn_2d[type];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( mat, mask ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
mask_step = mask->step;
if( CV_IS_MAT_CONT( mat->type & sum->type & mask->type ))
{
size.width *= size.height;
mat_step = sum_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat->data.ptr, mat_step, mask->data.ptr, mask_step,
sum->data.ptr, sum_step, size ));
}
__END__;
}
CV_IMPL void
cvMultiplyAcc( const void* arrA, const void* arrB,
void* acc, const void* maskarr )
{
static CvFuncTable acc_tab;
static CvBigFuncTable accmask_tab;
static int inittab = 0;
CV_FUNCNAME( "cvMultiplyAcc" );
__BEGIN__;
int coi1, coi2, coi3;
int type;
int mat1_step, mat2_step, sum_step, mask_step = 0;
CvSize size;
CvMat stub1, *mat1 = (CvMat*)arrA;
CvMat stub2, *mat2 = (CvMat*)arrB;
CvMat sumstub, *sum = (CvMat*)acc;
CvMat maskstub, *mask = (CvMat*)maskarr;
if( !inittab )
{
icvInitAddProductTable( &acc_tab, &accmask_tab );
inittab = 1;
}
CV_CALL( mat1 = cvGetMat( mat1, &stub1, &coi1 ));
CV_CALL( mat2 = cvGetMat( mat2, &stub2, &coi2 ));
CV_CALL( sum = cvGetMat( sum, &sumstub, &coi3 ));
if( coi1 != 0 || coi2 != 0 || coi3 != 0 )
CV_ERROR( CV_BadCOI, "" );
if( !CV_ARE_CNS_EQ( mat1, mat2 ) || !CV_ARE_CNS_EQ( mat1, sum ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( CV_MAT_DEPTH( sum->type ) != CV_32F )
CV_ERROR( CV_BadDepth, "" );
if( !CV_ARE_SIZES_EQ( mat1, sum ) || !CV_ARE_SIZES_EQ( mat2, sum ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
size = cvGetMatSize( mat1 );
type = CV_MAT_TYPE( mat1->type );
mat1_step = mat1->step;
mat2_step = mat2->step;
sum_step = sum->step;
if( !mask )
{
CvFunc2D_3A func = (CvFunc2D_3A)acc_tab.fn_2d[CV_MAT_DEPTH(type)];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
size.width *= CV_MAT_CN(type);
if( CV_IS_MAT_CONT( mat1->type & mat2->type & sum->type ))
{
size.width *= size.height;
mat1_step = mat2_step = sum_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
sum->data.ptr, sum_step, size ));
}
else
{
CvFunc2D_4A func = (CvFunc2D_4A)accmask_tab.fn_2d[type];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( mat1, mask ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
mask_step = mask->step;
if( CV_IS_MAT_CONT( mat1->type & mat2->type & sum->type & mask->type ))
{
size.width *= size.height;
mat1_step = mat2_step = sum_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat1->data.ptr, mat1_step, mat2->data.ptr, mat2_step,
mask->data.ptr, mask_step,
sum->data.ptr, sum_step, size ));
}
__END__;
}
typedef CvStatus (CV_STDCALL *CvAddWeightedFunc)( const void* src, int srcstep,
void* dst, int dststep,
CvSize size, float alpha );
typedef CvStatus (CV_STDCALL *CvAddWeightedMaskFunc)( const void* src, int srcstep,
void* dst, int dststep,
const void* mask, int maskstep,
CvSize size, float alpha );
CV_IMPL void
cvRunningAvg( const void* arrY, void* arrU,
double alpha, const void* maskarr )
{
static CvFuncTable acc_tab;
static CvBigFuncTable accmask_tab;
static int inittab = 0;
CV_FUNCNAME( "cvRunningAvg" );
__BEGIN__;
int coi1, coi2;
int type;
int mat_step, sum_step, mask_step = 0;
CvSize size;
CvMat stub, *mat = (CvMat*)arrY;
CvMat sumstub, *sum = (CvMat*)arrU;
CvMat maskstub, *mask = (CvMat*)maskarr;
if( !inittab )
{
icvInitAddWeightedTable( &acc_tab, &accmask_tab );
inittab = 1;
}
CV_CALL( mat = cvGetMat( mat, &stub, &coi1 ));
CV_CALL( sum = cvGetMat( sum, &sumstub, &coi2 ));
if( coi1 != 0 || coi2 != 0 )
CV_ERROR( CV_BadCOI, "" );
if( !CV_ARE_CNS_EQ( mat, sum ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( CV_MAT_DEPTH( sum->type ) != CV_32F )
CV_ERROR( CV_BadDepth, "" );
if( !CV_ARE_SIZES_EQ( mat, sum ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
size = cvGetMatSize( mat );
type = CV_MAT_TYPE( mat->type );
mat_step = mat->step;
sum_step = sum->step;
if( !mask )
{
CvAddWeightedFunc func = (CvAddWeightedFunc)acc_tab.fn_2d[CV_MAT_DEPTH(type)];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
size.width *= CV_MAT_CN(type);
if( CV_IS_MAT_CONT( mat->type & sum->type ))
{
size.width *= size.height;
mat_step = sum_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat->data.ptr, mat_step,
sum->data.ptr, sum_step, size, (float)alpha ));
}
else
{
CvAddWeightedMaskFunc func = (CvAddWeightedMaskFunc)accmask_tab.fn_2d[type];
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
CV_CALL( mask = cvGetMat( mask, &maskstub ));
if( !CV_IS_MASK_ARR( mask ))
CV_ERROR( CV_StsBadMask, "" );
if( !CV_ARE_SIZES_EQ( mat, mask ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
mask_step = mask->step;
if( CV_IS_MAT_CONT( mat->type & sum->type & mask->type ))
{
size.width *= size.height;
mat_step = sum_step = mask_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( func( mat->data.ptr, mat_step, mask->data.ptr, mask_step,
sum->data.ptr, sum_step, size, (float)alpha ));
}
__END__;
}
/* End of file. */