| /*M/////////////////////////////////////////////////////////////////////////////////////// |
| // |
| // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
| // |
| // By downloading, copying, installing or using the software you agree to this license. |
| // If you do not agree to this license, do not download, install, |
| // copy or use the software. |
| // |
| // |
| // Intel License Agreement |
| // For Open Source Computer Vision Library |
| // |
| // Copyright (C) 2000, Intel Corporation, all rights reserved. |
| // Third party copyrights are property of their respective owners. |
| // |
| // Redistribution and use in source and binary forms, with or without modification, |
| // are permitted provided that the following conditions are met: |
| // |
| // * Redistribution's of source code must retain the above copyright notice, |
| // this list of conditions and the following disclaimer. |
| // |
| // * Redistribution's in binary form must reproduce the above copyright notice, |
| // this list of conditions and the following disclaimer in the documentation |
| // and/or other materials provided with the distribution. |
| // |
| // * The name of Intel Corporation may not be used to endorse or promote products |
| // derived from this software without specific prior written permission. |
| // |
| // This software is provided by the copyright holders and contributors "as is" and |
| // any express or implied warranties, including, but not limited to, the implied |
| // warranties of merchantability and fitness for a particular purpose are disclaimed. |
| // In no event shall the Intel Corporation or contributors be liable for any direct, |
| // indirect, incidental, special, exemplary, or consequential damages |
| // (including, but not limited to, procurement of substitute goods or services; |
| // loss of use, data, or profits; or business interruption) however caused |
| // and on any theory of liability, whether in contract, strict liability, |
| // or tort (including negligence or otherwise) arising in any way out of |
| // the use of this software, even if advised of the possibility of such damage. |
| // |
| //M*/ |
| |
| #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. */ |
