+++ /dev/null
-/*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"
-
-/****************************************************************************************\
- Down-sampling pyramids core functions
-\****************************************************************************************/
-
-//////////// Filtering macros /////////////
-
-/* COMMON CASE */
-/* 1/16[1 4 6 4 1] */
-/* ...| x0 | x1 | x2 | x3 | x4 |... */
-#define PD_FILTER( x0, x1, x2, x3, x4 ) ((x2)*6+((x1)+(x3))*4+(x0)+(x4))
-
-/* MACROS FOR BORDERS */
-
-/* | b I a | b | reflection used ("I" denotes the image boundary) */
-
-/* LEFT/TOP */
-/* 1/16[1 4 6 4 1] */
-/* | x2 | x1 I x0 | x1 | x2 |... */
-#define PD_LT(x0,x1,x2) ((x0)*6 + (x1)*8 + (x2)*2)
-
-/* RIGHT/BOTTOM */
-/* 1/16[1 4 6 4 1] */
-/* ...| x0 | x1 | x2 | x3 I x2 | */
-#define PD_RB(x0,x1,x2,x3) ((x0) + ((x1) + (x3))*4 + (x2)*7)
-
-/* SINGULAR CASE ( width == 2 || height == 2 ) */
-/* 1/16[1 4 6 4 1] */
-/* | x0 | x1 I x0 | x1 I x0 | */
-#define PD_SINGULAR(x0,x1) (((x0) + (x1))*8)
-
-#define PD_SCALE_INT(x) (((x) + (1<<7)) >> 8)
-#define PD_SCALE_FLT(x) ((x)*0.00390625f)
-
-#define PD_SZ 5
-
-////////// generic macro ////////////
-
-#define ICV_DEF_PYR_DOWN_FUNC( flavor, type, worktype, _pd_scale_ ) \
-static CvStatus CV_STDCALL \
-icvPyrDownG5x5_##flavor##_CnR( const type* src, int srcstep, type* dst, \
- int dststep, CvSize size, void *buf, int Cs ) \
-{ \
- worktype* buffer = (worktype*)buf; /* pointer to temporary buffer */ \
- worktype* rows[PD_SZ]; /* array of rows pointers. dim(rows) is PD_SZ */ \
- int y, top_row = 0; \
- int Wd = size.width/2, Wdn = Wd*Cs; \
- int buffer_step = Wdn; \
- int pd_sz = (PD_SZ + 1)*buffer_step; \
- int fst = 0, lst = size.height <= PD_SZ/2 ? size.height : PD_SZ/2 + 1; \
- \
- assert( Cs == 1 || Cs == 3 ); \
- srcstep /= sizeof(src[0]); dststep /= sizeof(dst[0]); \
- \
- /* main loop */ \
- for( y = 0; y < size.height; y += 2, dst += dststep ) \
- { \
- /* set first and last indices of buffer rows which are need to be filled */ \
- int x, y1, k = top_row; \
- int x1 = buffer_step; \
- worktype *row01, *row23, *row4; \
- \
- /* assign rows pointers */ \
- for( y1 = 0; y1 < PD_SZ; y1++ ) \
- { \
- rows[y1] = buffer + k; \
- k += buffer_step; \
- k &= k < pd_sz ? -1 : 0; \
- } \
- \
- row01 = rows[0]; \
- row23 = rows[2]; \
- row4 = rows[4]; \
- \
- /* fill new buffer rows with filtered source (horizontal conv) */ \
- if( Cs == 1 ) \
- { \
- if( size.width > PD_SZ/2 ) \
- for( y1 = fst; y1 < lst; y1++, src += srcstep ) \
- { \
- worktype *row = rows[y1]; \
- \
- /* process left & right bounds */ \
- row[0] = PD_LT( src[0], src[1], src[2] ); \
- row[Wd-1] = PD_RB( src[Wd*2-4], src[Wd*2-3], \
- src[Wd*2-2], src[Wd*2-1]); \
- /* other points (even) */ \
- for( x = 1; x < Wd - 1; x++ ) \
- { \
- row[x] = PD_FILTER( src[2*x-2], src[2*x-1], src[2*x], \
- src[2*x+1], src[2*x+2] ); \
- } \
- } \
- else \
- for( y1 = fst; y1 < lst; y1++, src += srcstep ) \
- { \
- rows[y1][0] = PD_SINGULAR( src[0], src[1] ); \
- } \
- } \
- else /* Cs == 3 */ \
- { \
- for( y1 = fst; y1 < lst; y1++, src += srcstep ) \
- { \
- worktype *row = rows[y1]; \
- \
- if( size.width > PD_SZ/2 ) \
- { \
- int c; \
- for( c = 0; c < 3; c++ ) \
- { \
- /* process left & right bounds */ \
- row[c] = PD_LT( src[c], src[3+c], src[6+c] ); \
- row[Wdn-3+c] = PD_RB( src[Wdn*2-12+c], src[Wdn*2-9+c], \
- src[Wdn*2-6+c], src[Wdn*2-3+c] ); \
- } \
- /* other points (even) */ \
- for( x = 3; x < Wdn - 3; x += 3 ) \
- { \
- row[x] = PD_FILTER( src[2*x-6], src[2*x-3], src[2*x], \
- src[2*x+3], src[2*x+6] ); \
- row[x+1] = PD_FILTER( src[2*x-5], src[2*x-2], src[2*x+1], \
- src[2*x+4], src[2*x+7] ); \
- row[x+2] = PD_FILTER( src[2*x-4], src[2*x-1], src[2*x+2], \
- src[2*x+5], src[2*x+8] ); \
- } \
- } \
- else /* size.width <= PD_SZ/2 */ \
- { \
- row[0] = PD_SINGULAR( src[0], src[3] ); \
- row[1] = PD_SINGULAR( src[1], src[4] ); \
- row[2] = PD_SINGULAR( src[2], src[5] ); \
- } \
- } \
- } \
- \
- /* second pass. Do vertical conv and write results do destination image */ \
- if( y > 0 ) \
- { \
- if( y < size.height - PD_SZ/2 ) \
- { \
- for( x = 0; x < Wdn; x++, x1++ ) \
- { \
- dst[x] = (type)_pd_scale_( PD_FILTER( row01[x], row01[x1], \
- row23[x], row23[x1], row4[x] )); \
- } \
- top_row += 2*buffer_step; \
- top_row &= top_row < pd_sz ? -1 : 0; \
- } \
- else /* bottom */ \
- for( x = 0; x < Wdn; x++, x1++ ) \
- dst[x] = (type)_pd_scale_( PD_RB( row01[x], row01[x1], \
- row23[x], row23[x1])); \
- } \
- else \
- { \
- if( size.height > PD_SZ/2 ) /* top */ \
- { \
- for( x = 0; x < Wdn; x++, x1++ ) \
- dst[x] = (type)_pd_scale_( PD_LT( row01[x], row01[x1], row23[x] )); \
- } \
- else /* size.height <= PD_SZ/2 */ \
- { \
- for( x = 0; x < Wdn; x++, x1++ ) \
- dst[x] = (type)_pd_scale_( PD_SINGULAR( row01[x], row01[x1] )); \
- } \
- fst = PD_SZ - 2; \
- } \
- \
- lst = y + 2 + PD_SZ/2 < size.height ? PD_SZ : size.height - y; \
- } \
- \
- return CV_OK; \
-}
-
-
-ICV_DEF_PYR_DOWN_FUNC( 8u, uchar, int, PD_SCALE_INT )
-ICV_DEF_PYR_DOWN_FUNC( 16s, short, int, PD_SCALE_INT )
-ICV_DEF_PYR_DOWN_FUNC( 16u, ushort, int, PD_SCALE_INT )
-ICV_DEF_PYR_DOWN_FUNC( 32f, float, float, PD_SCALE_FLT )
-ICV_DEF_PYR_DOWN_FUNC( 64f, double, double, PD_SCALE_FLT )
-
-
-/****************************************************************************************\
- Up-sampling pyramids core functions
-\****************************************************************************************/
-
-/////////// filtering macros //////////////
-
-/* COMMON CASE: NON ZERO */
-/* 1/16[1 4 6 4 1] */
-/* ...| x0 | 0 | x1 | 0 | x2 |... */
-#define PU_FILTER( x0, x1, x2 ) ((x1)*6 + (x0) + (x2))
-
-/* ZERO POINT AT CENTER */
-/* 1/16[1 4 6 4 1] */
-/* ...| 0 | x0 | 0 | x1 | 0 |... */
-#define PU_FILTER_ZI( x0, x1 ) (((x0) + (x1))*4)
-
-/* MACROS FOR BORDERS */
-
-/* | b I a | b | reflection */
-
-/* LEFT/TOP */
-/* 1/16[1 4 6 4 1] */
-/* | x1 | 0 I x0 | 0 | x1 |... */
-#define PU_LT( x0, x1 ) ((x0)*6 + (x1)*2)
-
-/* 1/16[1 4 6 4 1] */
-/* | 0 I x0 | 0 | x1 | 0 |... */
-#define PU_LT_ZI( x0, x1 ) PU_FILTER_ZI((x0),(x1))
-
-/* RIGHT/BOTTOM: NON ZERO */
-/* 1/16[1 4 6 4 1] */
-/* ...| x0 | 0 | x1 | 0 I x1 | */
-#define PU_RB( x0, x1 ) ((x0) + (x1)*7)
-
-/* RIGHT/BOTTOM: ZERO POINT AT CENTER */
-/* 1/16[1 4 6 4 1] */
-/* ...| 0 | x0 | 0 I x0 | 0 | */
-#define PU_RB_ZI( x0 ) ((x0)*8)
-
-/* SINGULAR CASE */
-/* 1/16[1 4 6 4 1] */
-/* | x0 | 0 I x0 | 0 I x0 | */
-#define PU_SINGULAR( x0 ) PU_RB_ZI((x0)) /* <--| the same formulas */
-#define PU_SINGULAR_ZI( x0 ) PU_RB_ZI((x0)) /* <--| */
-
-/* x/64 - scaling in up-sampling functions */
-#define PU_SCALE_INT(x) (((x) + (1<<5)) >> 6)
-#define PU_SCALE_FLT(x) ((x)*0.015625f)
-
-#define PU_SZ 3
-
-//////////// generic macro /////////////
-
-
-#define ICV_DEF_PYR_UP_FUNC( flavor, type, worktype, _pu_scale_ ) \
-static CvStatus CV_STDCALL \
-icvPyrUpG5x5_##flavor##_CnR( const type* src, int srcstep, type* dst, \
- int dststep, CvSize size, void *buf, int Cs ) \
-{ \
- worktype *buffer = (worktype*)buf; \
- worktype *rows[PU_SZ]; \
- int y, top_row = 0; \
- int Wd = size.width * 2, Wdn = Wd * Cs, Wn = size.width * Cs; \
- int buffer_step = Wdn; \
- int pu_sz = PU_SZ*buffer_step; \
- int fst = 0, lst = size.height <= PU_SZ/2 ? size.height : PU_SZ/2 + 1; \
- \
- assert( Cs == 1 || Cs == 3 ); \
- srcstep /= sizeof(src[0]); dststep /= sizeof(dst[0]); \
- \
- /* main loop */ \
- for( y = 0; y < size.height; y++, dst += 2 * dststep ) \
- { \
- int x, y1, k = top_row; \
- worktype *row0, *row1, *row2; \
- type *dst1; \
- \
- /* assign rows pointers */ \
- for( y1 = 0; y1 < PU_SZ; y1++ ) \
- { \
- rows[y1] = buffer + k; \
- k += buffer_step; \
- k &= k < pu_sz ? -1 : 0; \
- } \
- \
- row0 = rows[0]; \
- row1 = rows[1]; \
- row2 = rows[2]; \
- dst1 = dst + dststep; \
- \
- /* fill new buffer rows with filtered source (horizontal conv) */ \
- if( Cs == 1 ) \
- if( size.width > PU_SZ / 2 ) \
- for( y1 = fst; y1 < lst; y1++, src += srcstep ) \
- { \
- worktype *row = rows[y1]; \
- \
- /* process left & right bounds */ \
- row[0] = PU_LT( src[0], src[1] ); \
- row[1] = PU_LT_ZI( src[0], src[1] ); \
- row[size.width * 2 - 2] = PU_RB( src[size.width - 2], \
- src[size.width - 1] ); \
- row[size.width * 2 - 1] = PU_RB_ZI( src[size.width - 1] ); \
- /* other points */ \
- for( x = 1; x < size.width - 1; x++ ) \
- { \
- row[2 * x] = PU_FILTER( src[x - 1], src[x], src[x + 1] ); \
- row[2 * x + 1] = PU_FILTER_ZI( src[x], src[x + 1] ); \
- } \
- } \
- else /* size.width <= PU_SZ/2 */ \
- for( y1 = fst; y1 < lst; y1++, src += srcstep ) \
- { \
- worktype *row = rows[y1]; \
- worktype val = src[0]; \
- \
- row[0] = PU_SINGULAR( val ); \
- row[1] = PU_SINGULAR_ZI( val ); \
- } \
- else /* Cs == 3 */ \
- for( y1 = fst; y1 < lst; y1++, src += srcstep ) \
- { \
- worktype *row = rows[y1]; \
- \
- if( size.width > PU_SZ / 2 ) \
- { \
- int c; \
- \
- for( c = 0; c < 3; c++ ) \
- { \
- /* process left & right bounds */ \
- row[c] = PU_LT( src[c], src[3 + c] ); \
- row[3 + c] = PU_LT_ZI( src[c], src[3 + c] ); \
- row[Wn * 2 - 6 + c] = PU_RB( src[Wn - 6 + c], src[Wn - 3 + c]); \
- row[Wn * 2 - 3 + c] = PU_RB_ZI( src[Wn - 3 + c] ); \
- } \
- /* other points */ \
- for( x = 3; x < Wn - 3; x += 3 ) \
- { \
- row[2 * x] = PU_FILTER( src[x - 3], src[x], src[x + 3] ); \
- row[2 * x + 3] = PU_FILTER_ZI( src[x], src[x + 3] ); \
- \
- row[2 * x + 1] = PU_FILTER( src[x - 2], src[x + 1], src[x + 4]);\
- row[2 * x + 4] = PU_FILTER_ZI( src[x + 1], src[x + 4] ); \
- \
- row[2 * x + 2] = PU_FILTER( src[x - 1], src[x + 2], src[x + 5]);\
- row[2 * x + 5] = PU_FILTER_ZI( src[x + 2], src[x + 5] ); \
- } \
- } \
- else /* size.width <= PU_SZ/2 */ \
- { \
- int c; \
- \
- for( c = 0; c < 3; c++ ) \
- { \
- row[c] = PU_SINGULAR( src[c] ); \
- row[3 + c] = PU_SINGULAR_ZI( src[c] ); \
- } \
- } \
- } \
- \
- /* second pass. Do vertical conv and write results do destination image */ \
- if( y > 0 ) \
- { \
- if( y < size.height - PU_SZ / 2 ) \
- { \
- for( x = 0; x < Wdn; x++ ) \
- { \
- dst[x] = (type)_pu_scale_( PU_FILTER( row0[x], row1[x], row2[x] )); \
- dst1[x] = (type)_pu_scale_( PU_FILTER_ZI( row1[x], row2[x] )); \
- } \
- top_row += buffer_step; \
- top_row &= top_row < pu_sz ? -1 : 0; \
- } \
- else /* bottom */ \
- for( x = 0; x < Wdn; x++ ) \
- { \
- dst[x] = (type)_pu_scale_( PU_RB( row0[x], row1[x] )); \
- dst1[x] = (type)_pu_scale_( PU_RB_ZI( row1[x] )); \
- } \
- } \
- else \
- { \
- if( size.height > PU_SZ / 2 ) /* top */ \
- for( x = 0; x < Wdn; x++ ) \
- { \
- dst[x] = (type)_pu_scale_( PU_LT( row0[x], row1[x] )); \
- dst1[x] = (type)_pu_scale_( PU_LT_ZI( row0[x], row1[x] )); \
- } \
- else /* size.height <= PU_SZ/2 */ \
- for( x = 0; x < Wdn; x++ ) \
- { \
- dst[x] = (type)_pu_scale_( PU_SINGULAR( row0[x] )); \
- dst1[x] = (type)_pu_scale_( PU_SINGULAR_ZI( row0[x] )); \
- } \
- fst = PU_SZ - 1; \
- } \
- \
- lst = y < size.height - PU_SZ/2 - 1 ? PU_SZ : size.height + PU_SZ/2 - y - 1; \
- } \
- \
- return CV_OK; \
-}
-
-
-ICV_DEF_PYR_UP_FUNC( 8u, uchar, int, PU_SCALE_INT )
-ICV_DEF_PYR_UP_FUNC( 16s, short, int, PU_SCALE_INT )
-ICV_DEF_PYR_UP_FUNC( 16u, ushort, int, PU_SCALE_INT )
-ICV_DEF_PYR_UP_FUNC( 32f, float, float, PU_SCALE_FLT )
-ICV_DEF_PYR_UP_FUNC( 64f, double, double, PU_SCALE_FLT )
-
-
-static CvStatus CV_STDCALL
-icvPyrUpG5x5_GetBufSize( int roiWidth, CvDataType dataType,
- int channels, int *bufSize )
-{
- int bufStep;
-
- if( !bufSize )
- return CV_NULLPTR_ERR;
- *bufSize = 0;
-
- if( roiWidth < 0 )
- return CV_BADSIZE_ERR;
- if( channels != 1 && channels != 3 )
- return CV_UNSUPPORTED_CHANNELS_ERR;
-
- bufStep = 2*roiWidth*channels;
-
- if( dataType == cv64f )
- bufStep *= sizeof(double);
- else
- bufStep *= sizeof(int);
-
- *bufSize = bufStep * PU_SZ;
- return CV_OK;
-}
-
-
-static CvStatus CV_STDCALL
-icvPyrDownG5x5_GetBufSize( int roiWidth, CvDataType dataType,
- int channels, int *bufSize )
-{
- int bufStep;
-
- if( !bufSize )
- return CV_NULLPTR_ERR;
- *bufSize = 0;
-
- if( roiWidth < 0 || (roiWidth & 1) != 0 )
- return CV_BADSIZE_ERR;
- if( channels != 1 && channels != 3 )
- return CV_UNSUPPORTED_CHANNELS_ERR;
-
- bufStep = 2*roiWidth*channels;
-
- if( dataType == cv64f )
- bufStep *= sizeof(double);
- else
- bufStep *= sizeof(int);
-
- *bufSize = bufStep * (PD_SZ + 1);
- return CV_OK;
-}
-
-/****************************************************************************************\
- Downsampled image border completion
-\****************************************************************************************/
-
-#define ICV_DEF_PYR_BORDER_FUNC( flavor, arrtype, worktype, _pd_scale_ ) \
-static CvStatus CV_STDCALL \
-icvPyrDownBorder_##flavor##_CnR( const arrtype *src, int src_step, CvSize src_size, \
- arrtype *dst, int dst_step, CvSize dst_size, int channels ) \
-{ \
- int local_alloc = 0; \
- worktype *buf = 0, *buf0 = 0; \
- const arrtype* src2; \
- arrtype* dst2; \
- int buf_size; \
- int i, j; \
- int W = src_size.width, H = src_size.height; \
- int Wd = dst_size.width, Hd = dst_size.height; \
- int Wd_, Hd_; \
- int Wn = W*channels; \
- int bufW; \
- int cols, rows; /* columns and rows to modify */ \
- \
- assert( channels == 1 || channels == 3 ); \
- \
- buf_size = MAX(src_size.width,src_size.height) * sizeof(buf[0]) * 2 * channels; \
- if( buf_size > (1 << 14) ) \
- { \
- buf = (worktype*)cvAlloc( buf_size ); \
- if( !buf ) \
- return CV_OUTOFMEM_ERR; \
- } \
- else \
- { \
- buf = (worktype*)cvAlignPtr(alloca( buf_size+8 ), 8); \
- local_alloc = 1; \
- } \
- \
- buf0 = buf; \
- \
- src_step /= sizeof(src[0]); \
- dst_step /= sizeof(dst[0]); \
- \
- cols = (W & 1) + (Wd*2 > W); \
- rows = (H & 1) + (Hd*2 > H); \
- \
- src2 = src + (H-1)*src_step; \
- dst2 = dst + (Hd - rows)*dst_step; \
- src += (W - 1)*channels; \
- dst += (Wd - cols)*channels; \
- \
- /* part of row(column) from 1 to Wd_(Hd_) is processed using PD_FILTER macro */ \
- Wd_ = Wd - 1 + (cols == 1 && (W & 1) != 0); \
- Hd_ = Hd - 1 + (rows == 1 && (H & 1) != 0); \
- \
- bufW = channels * cols; \
- \
- /******************* STAGE 1. ******************/ \
- \
- /* do horizontal convolution of the 1-2 right columns and write results to buffer */\
- if( cols > 0 ) \
- { \
- if( W <= 2 ) \
- { \
- assert( Wd == 1 ); \
- for( i = 0; i < H; i++, src += src_step, buf += channels ) \
- { \
- if( channels == 1 ) \
- buf[0] = PD_SINGULAR( src[1-Wn], src[0] ); \
- else \
- { \
- buf[0] = PD_SINGULAR( src[3-Wn], src[0] ); \
- buf[1] = PD_SINGULAR( src[4-Wn], src[1] ); \
- buf[2] = PD_SINGULAR( src[5-Wn], src[2] ); \
- } \
- } \
- } \
- else if( W == 3 && Wd == 1 || W > 3 && !(Wd & 1) ) \
- { \
- for( i = 0; i < H; i++, src += src_step, buf += channels ) \
- { \
- if( channels == 1 ) \
- buf[0] = PD_LT( src[-2], src[-1], src[0] ); \
- else \
- { \
- buf[0] = PD_LT( src[-6], src[-3], src[0] ); \
- buf[1] = PD_LT( src[-5], src[-2], src[1] ); \
- buf[2] = PD_LT( src[-4], src[-1], src[2] ); \
- } \
- } \
- } \
- else if( W == 3 ) \
- { \
- for( i = 0; i < H; i++, src += src_step, buf += channels*2 ) \
- { \
- if( channels == 1 ) \
- { \
- buf[0] = PD_LT( src[-2], src[-1], src[0] ); \
- buf[1] = PD_LT( src[0], src[-1], src[-2] ); \
- } \
- else \
- { \
- buf[0] = PD_LT( src[-6], src[-3], src[0] ); \
- buf[1] = PD_LT( src[-5], src[-2], src[1] ); \
- buf[2] = PD_LT( src[-4], src[-1], src[2] ); \
- buf[3] = PD_LT( src[0], src[-3], src[-6] ); \
- buf[4] = PD_LT( src[1], src[-2], src[-5] ); \
- buf[5] = PD_LT( src[2], src[-1], src[-4] ); \
- } \
- } \
- } \
- else if( cols == 1 ) \
- { \
- for( i = 0; i < H; i++, src += src_step, buf += channels ) \
- { \
- if( channels == 1 ) \
- buf[0] = PD_FILTER( src[-4], src[-3], src[-2], src[-1], src[0]); \
- else \
- { \
- buf[0] = PD_FILTER( src[-12], src[-9], src[-6], src[-3], src[0]); \
- buf[1] = PD_FILTER( src[-11], src[-8], src[-5], src[-2], src[1]); \
- buf[2] = PD_FILTER( src[-10], src[-7], src[-4], src[-1], src[2]); \
- } \
- } \
- } \
- else \
- { \
- for( i = 0; i < H; i++, src += src_step, buf += channels*2 ) \
- { \
- if( channels == 1 ) \
- { \
- buf[0] = PD_FILTER( src[-4], src[-3], src[-2], src[-1], src[0] ); \
- buf[1] = PD_LT( src[0], src[-1], src[-2] ); \
- } \
- else \
- { \
- buf[0] = PD_FILTER( src[-12], src[-9], src[-6], src[-3], src[0] ); \
- buf[1] = PD_FILTER( src[-11], src[-8], src[-5], src[-2], src[1] ); \
- buf[2] = PD_FILTER( src[-10], src[-7], src[-4], src[-1], src[2] ); \
- buf[3] = PD_LT( src[0], src[-3], src[-6] ); \
- buf[4] = PD_LT( src[1], src[-2], src[-5] ); \
- buf[5] = PD_LT( src[2], src[-1], src[-4] ); \
- } \
- } \
- } \
- buf = buf0; \
- } \
- \
- src = src2; \
- \
- /******************* STAGE 2. ******************/ \
- \
- /* do vertical convolution of the pre-processed right columns, */ \
- /* stored in buffer, and write results to the destination */ \
- /* do vertical convolution of the 1-2 bottom rows */ \
- /* and write results to the buffer */ \
- if( H <= 2 ) \
- { \
- if( cols > 0 ) \
- { \
- assert( Hd == 1 ); \
- for( j = 0; j < bufW; j++ ) \
- dst[j] = (arrtype)_pd_scale_( PD_SINGULAR( buf[j], buf[j+(H-1)*bufW] ));\
- } \
- \
- if( rows > 0 ) \
- { \
- for( j = 0; j < Wn; j++ ) \
- buf[j] = PD_SINGULAR( src[j-src_step], src[j] ); \
- } \
- } \
- else if( H == 3 ) \
- { \
- if( cols > 0 ) \
- { \
- for( j = 0; j < bufW; j++ ) \
- { \
- dst[j]= (arrtype)_pd_scale_(PD_LT( buf[j], buf[j+bufW], buf[j+bufW*2]));\
- } \
- if( Hd == 2 ) \
- { \
- dst += dst_step; \
- for( j = 0; j < bufW; j++ ) \
- dst[j] = (arrtype)_pd_scale_( PD_LT( buf[j+bufW*2], \
- buf[j+bufW], buf[j] )); \
- } \
- } \
- \
- if( Hd == 1 ) \
- { \
- for( j = 0; j < Wn; j++ ) \
- buf[j] = PD_LT( src[j-src_step*2], src[j - src_step], src[j] ); \
- } \
- else \
- { \
- for( j = 0; j < Wn; j++ ) \
- { \
- buf[j] = PD_LT( src[j-src_step*2], src[j - src_step], src[j] ); \
- buf[j+Wn] = PD_LT( src[j],src[j-src_step],src[j-src_step*2] ); \
- } \
- } \
- } \
- else \
- { \
- if( cols > 0 ) \
- { \
- /* top of the right border */ \
- for( j = 0; j < bufW; j++ ) \
- dst[j]=(arrtype)_pd_scale_( PD_LT( buf[j], buf[j+bufW], buf[j+bufW*2]));\
- \
- /* middle part of the right border */ \
- buf += bufW*2; \
- dst += dst_step; \
- for( i = 1; i < Hd_; i++, dst += dst_step, buf += bufW*2 ) \
- { \
- for( j = 0; j < bufW; j++ ) \
- dst[j] = (arrtype)_pd_scale_( PD_FILTER( buf[j-bufW*2], buf[j-bufW],\
- buf[j], buf[j+bufW], buf[j+bufW*2] ));\
- } \
- \
- /* bottom of the right border */ \
- if( !(H & 1) ) \
- { \
- for( j = 0; j < bufW; j++ ) \
- dst[j] = (arrtype)_pd_scale_( PD_RB( buf[j-bufW*2], buf[j-bufW], \
- buf[j], buf[j+bufW] )); \
- } \
- else if( rows > 1 ) \
- { \
- for( j = 0; j < bufW; j++ ) \
- dst[j]=(arrtype)_pd_scale_( PD_LT( buf[j-bufW*2], \
- buf[j-bufW], buf[j])); \
- } \
- \
- buf = buf0; \
- } \
- \
- if( rows > 0 ) \
- { \
- if( !(H & 1) ) \
- { \
- for( j = 0; j < Wn; j++ ) \
- buf[j] = PD_LT( src[j], src[j-src_step], src[j-src_step*2] ); \
- } \
- else if( cols == 1 ) \
- { \
- for( j = 0; j < Wn; j++ ) \
- buf[j] = PD_FILTER( src[j-src_step*4], src[j-src_step*3], \
- src[j-src_step*2], src[j-src_step], src[j] ); \
- } \
- else \
- { \
- for( j = 0; j < Wn; j++ ) \
- { \
- buf[j] = PD_FILTER( src[j-src_step*4], src[j-src_step*3], \
- src[j-src_step*2], src[j-src_step], src[j] ); \
- buf[j+Wn] = PD_LT( src[j], src[j-src_step], src[j-src_step*2] ); \
- } \
- } \
- } \
- } \
- \
- \
- /******************* STAGE 3. ******************/ \
- \
- /* do horizontal convolution of the pre-processed bottom rows,*/ \
- /* stored in buffer, and write results to the destination */ \
- if( rows > 0 ) \
- { \
- dst = dst2; \
- \
- if( W <= 2 ) \
- { \
- assert( Wd == 1 ); \
- for( ; rows--; dst += dst_step, buf += Wn ) \
- { \
- if( channels == 1 ) \
- dst[0] = (arrtype)_pd_scale_( PD_SINGULAR( buf[0], buf[Wn-1] )); \
- else \
- { \
- dst[0] = (arrtype)_pd_scale_( PD_SINGULAR( buf[0], buf[Wn-3] )); \
- dst[1] = (arrtype)_pd_scale_( PD_SINGULAR( buf[1], buf[Wn-2] )); \
- dst[2] = (arrtype)_pd_scale_( PD_SINGULAR( buf[2], buf[Wn-1] )); \
- } \
- } \
- } \
- else if( W == 3 ) \
- { \
- if( Wd == 1 ) \
- { \
- for( ; rows--; dst += dst_step, buf += Wn ) \
- { \
- if( channels == 1 ) \
- dst[0] = (arrtype)_pd_scale_( PD_LT(buf[0], buf[1], buf[2] )); \
- else \
- { \
- dst[0] = (arrtype)_pd_scale_( PD_LT(buf[0], buf[3], buf[6] )); \
- dst[1] = (arrtype)_pd_scale_( PD_LT(buf[1], buf[4], buf[7] )); \
- dst[2] = (arrtype)_pd_scale_( PD_LT(buf[2], buf[5], buf[8] )); \
- } \
- } \
- } \
- else \
- { \
- for( ; rows--; dst += dst_step, buf += Wn ) \
- { \
- if( channels == 1 ) \
- { \
- dst[0] = (arrtype)_pd_scale_( PD_LT(buf[0], buf[1], buf[2] )); \
- dst[1] = (arrtype)_pd_scale_( PD_LT(buf[2], buf[1], buf[0] )); \
- } \
- else \
- { \
- dst[0] = (arrtype)_pd_scale_( PD_LT(buf[0], buf[3], buf[6] )); \
- dst[1] = (arrtype)_pd_scale_( PD_LT(buf[1], buf[4], buf[7] )); \
- dst[2] = (arrtype)_pd_scale_( PD_LT(buf[2], buf[5], buf[8] )); \
- dst[3] = (arrtype)_pd_scale_( PD_LT(buf[6], buf[3], buf[0] )); \
- dst[4] = (arrtype)_pd_scale_( PD_LT(buf[7], buf[4], buf[1] )); \
- dst[5] = (arrtype)_pd_scale_( PD_LT(buf[8], buf[5], buf[2] )); \
- } \
- } \
- } \
- } \
- else \
- { \
- for( ; rows--; dst += dst_step, buf += Wn ) \
- { \
- if( channels == 1 ) \
- { \
- /* left part of the bottom row */ \
- dst[0] = (arrtype)_pd_scale_( PD_LT( buf[0], buf[1], buf[2] )); \
- \
- /* middle part of the bottom row */ \
- for( i = 1; i < Wd_; i++ ) \
- { \
- dst[i] = (arrtype)_pd_scale_( PD_FILTER(buf[i*2-2], buf[i*2-1], \
- buf[i*2],buf[i*2+1], buf[i*2+2] )); \
- } \
- \
- /* right part of the bottom row */ \
- if( !(W & 1) ) \
- dst[i] = (arrtype)_pd_scale_( PD_RB( buf[i*2-2],buf[i*2-1], \
- buf[i*2], buf[i*2+1] )); \
- else if( cols > 1 ) \
- dst[i] = (arrtype)_pd_scale_( PD_LT( buf[i*2-2], \
- buf[i*2-1], buf[i*2] )); \
- } \
- else \
- { \
- /* left part of the bottom row */ \
- dst[0] = (arrtype)_pd_scale_( PD_LT( buf[0], buf[3], buf[6] )); \
- dst[1] = (arrtype)_pd_scale_( PD_LT( buf[1], buf[4], buf[7] )); \
- dst[2] = (arrtype)_pd_scale_( PD_LT( buf[2], buf[5], buf[8] )); \
- \
- /* middle part of the bottom row */ \
- for( i = 3; i < Wd_*3; i++ ) \
- { \
- dst[i] = (arrtype)_pd_scale_( PD_FILTER(buf[i*2-6], buf[i*2-3], \
- buf[i*2],buf[i*2+3], buf[i*2+6]));\
- } \
- \
- /* right part of the bottom row */ \
- if( !(W & 1) ) \
- { \
- dst[i] = (arrtype)_pd_scale_( PD_RB( buf[i*2-6],buf[i*2-3], \
- buf[i*2], buf[i*2+3] )); \
- dst[i+1] = (arrtype)_pd_scale_( PD_RB( buf[i*2-5],buf[i*2-2], \
- buf[i*2+1], buf[i*2+4] )); \
- dst[i+2] = (arrtype)_pd_scale_( PD_RB( buf[i*2-4],buf[i*2-1], \
- buf[i*2+2], buf[i*2+5] )); \
- } \
- else if( cols > 1 ) \
- { \
- dst[i] = (arrtype)_pd_scale_( PD_LT( buf[i*2-6], buf[i*2-3], buf[i*2] )); \
- dst[i+1] = (arrtype)_pd_scale_( PD_LT( buf[i*2-5], buf[i*2-2], buf[i*2+1]));\
- dst[i+2] = (arrtype)_pd_scale_( PD_LT( buf[i*2-4], buf[i*2-1], buf[i*2+2]));\
- } \
- } \
- } \
- } \
- } \
- \
- if( !local_alloc ) \
- cvFree( &buf0 ); \
- \
- return CV_OK; \
-}
-
-
-#define ICV_DEF_INIT_PYR_TABLE( FUNCNAME ) \
-static void icvInit##FUNCNAME##Table( CvFuncTable* tab ) \
-{ \
- tab->fn_2d[CV_8U] = (void*)icv##FUNCNAME##_8u_CnR; \
- tab->fn_2d[CV_8S] = 0; \
- tab->fn_2d[CV_16S] = (void*)icv##FUNCNAME##_16s_CnR; \
- tab->fn_2d[CV_16U] = (void*)icv##FUNCNAME##_16u_CnR; \
- tab->fn_2d[CV_32F] = (void*)icv##FUNCNAME##_32f_CnR; \
- tab->fn_2d[CV_64F] = (void*)icv##FUNCNAME##_64f_CnR; \
-}
-
-static void icvInitPyrDownBorderTable( CvFuncTable* tab );
-
-ICV_DEF_INIT_PYR_TABLE( PyrUpG5x5 )
-ICV_DEF_INIT_PYR_TABLE( PyrDownG5x5 )
-
-typedef CvStatus (CV_STDCALL * CvPyrDownBorderFunc)( const void* src, int srcstep,
- CvSize srcsize, void* dst,
- int dststep, CvSize dstsize, int cn );
-
-////////////////////////////// IPP pyramid functions /////////////////////////////////////
-
-icvPyrDown_Gauss5x5_8u_C1R_t icvPyrDown_Gauss5x5_8u_C1R_p = 0;
-icvPyrDown_Gauss5x5_8u_C3R_t icvPyrDown_Gauss5x5_8u_C3R_p = 0;
-icvPyrDown_Gauss5x5_32f_C1R_t icvPyrDown_Gauss5x5_32f_C1R_p = 0;
-icvPyrDown_Gauss5x5_32f_C3R_t icvPyrDown_Gauss5x5_32f_C3R_p = 0;
-
-icvPyrUp_Gauss5x5_8u_C1R_t icvPyrUp_Gauss5x5_8u_C1R_p = 0;
-icvPyrUp_Gauss5x5_8u_C3R_t icvPyrUp_Gauss5x5_8u_C3R_p = 0;
-icvPyrUp_Gauss5x5_32f_C1R_t icvPyrUp_Gauss5x5_32f_C1R_p = 0;
-icvPyrUp_Gauss5x5_32f_C3R_t icvPyrUp_Gauss5x5_32f_C3R_p = 0;
-
-icvPyrUpGetBufSize_Gauss5x5_t icvPyrUpGetBufSize_Gauss5x5_p = 0;
-icvPyrDownGetBufSize_Gauss5x5_t icvPyrDownGetBufSize_Gauss5x5_p = 0;
-
-typedef CvStatus (CV_STDCALL * CvPyramidFunc)
-( const void* src, int srcstep, void* dst,
- int dststep, CvSize size, void* buffer, int cn );
-
-typedef CvStatus (CV_STDCALL * CvPyramidIPPFunc)
-( const void* src, int srcstep, void* dst, int dststep, CvSize size, void* buffer );
-
-//////////////////////////////////////////////////////////////////////////////////////////
-
-/****************************************************************************************\
-* External functions *
-\****************************************************************************************/
-
-CV_IMPL void
-cvPyrUp( const void* srcarr, void* dstarr, int _filter )
-{
- static CvFuncTable pyrup_tab;
- static int inittab = 0;
-
- void *buffer = 0;
- int local_alloc = 0;
-
- CV_FUNCNAME( "cvPyrUp" );
-
- __BEGIN__;
-
- int coi1 = 0, coi2 = 0;
- int buffer_size = 0;
- int type, depth, cn;
- CvMat srcstub, *src = (CvMat*)srcarr;
- CvMat dststub, *dst = (CvMat*)dstarr;
- CvFilter filter = (CvFilter) _filter;
- CvPyramidFunc func;
- CvPyramidIPPFunc ipp_func = 0;
- int use_ipp = 0;
- CvSize size;
-
- if( !inittab )
- {
- icvInitPyrUpG5x5Table( &pyrup_tab );
- inittab = 1;
- }
-
- CV_CALL( src = cvGetMat( src, &srcstub, &coi1 ));
- CV_CALL( dst = cvGetMat( dst, &dststub, &coi2 ));
-
- if( coi1 != 0 || coi2 != 0 )
- CV_ERROR( CV_BadCOI, "" );
-
- if( filter != CV_GAUSSIAN_5x5 )
- CV_ERROR( CV_StsBadArg, "this filter type not supported" );
-
- if( !CV_ARE_TYPES_EQ( src, dst ))
- CV_ERROR( CV_StsUnmatchedFormats, "" );
-
- if( src->cols*2 != dst->cols || src->rows*2 != dst->rows )
- CV_ERROR( CV_StsUnmatchedSizes, "" );
-
- size = cvGetMatSize(src);
- type = CV_MAT_TYPE(src->type);
- depth = CV_MAT_DEPTH(type);
- cn = CV_MAT_CN(type);
-
- if( cn != 1 && cn != 3 )
- CV_ERROR( CV_StsUnsupportedFormat, "The images must have 1 or 3 channel" );
-
- func = (CvPyramidFunc)pyrup_tab.fn_2d[depth];
-
- if( !func )
- CV_ERROR( CV_StsUnsupportedFormat, "" );
-
- if( icvPyrUpGetBufSize_Gauss5x5_p )
- {
- ipp_func = type == CV_8UC1 ? icvPyrUp_Gauss5x5_8u_C1R_p :
- type == CV_8UC3 ? icvPyrUp_Gauss5x5_8u_C3R_p :
- type == CV_32FC1 ? icvPyrUp_Gauss5x5_32f_C1R_p :
- type == CV_32FC3 ? icvPyrUp_Gauss5x5_32f_C3R_p : 0;
-
- use_ipp = ipp_func && icvPyrUpGetBufSize_Gauss5x5_p( size.width,
- icvDepthToDataType(type), cn, &buffer_size ) >= 0;
- }
-
- if( !use_ipp )
- icvPyrUpG5x5_GetBufSize( size.width, icvDepthToDataType(type), cn, &buffer_size );
-
- if( buffer_size <= CV_MAX_LOCAL_SIZE )
- {
- buffer = cvStackAlloc( buffer_size );
- local_alloc = 1;
- }
- else
- CV_CALL( buffer = cvAlloc( buffer_size ));
-
- if( !use_ipp )
- func( src->data.ptr, src->step, dst->data.ptr, dst->step, size, buffer, cn );
- else
- IPPI_CALL( ipp_func( src->data.ptr, src->step ? src->step : CV_STUB_STEP,
- dst->data.ptr, dst->step ? dst->step : CV_STUB_STEP, size, buffer ));
- __END__;
-
- if( buffer && !local_alloc )
- cvFree( &buffer );
-}
-
-
-CV_IMPL void
-cvPyrDown( const void* srcarr, void* dstarr, int _filter )
-{
- static CvFuncTable pyrdown_tab;
- static CvFuncTable pyrdownborder_tab;
- static int inittab = 0;
-
- void *buffer = 0;
- int local_alloc = 0;
-
- CV_FUNCNAME( "cvPyrDown" );
-
- __BEGIN__;
-
- int coi1 = 0, coi2 = 0;
- int buffer_size = 0;
- int type, depth, cn;
- CvMat srcstub, *src = (CvMat*)srcarr;
- CvMat dststub, *dst = (CvMat*)dstarr;
- CvFilter filter = (CvFilter) _filter;
- CvPyramidFunc func;
- CvPyramidIPPFunc ipp_func = 0;
- int use_ipp = 0;
- CvSize src_size, src_size2, dst_size;
-
- if( !inittab )
- {
- icvInitPyrDownG5x5Table( &pyrdown_tab );
- icvInitPyrDownBorderTable( &pyrdownborder_tab );
- inittab = 1;
- }
-
- CV_CALL( src = cvGetMat( src, &srcstub, &coi1 ));
- CV_CALL( dst = cvGetMat( dst, &dststub, &coi2 ));
-
- if( coi1 != 0 || coi2 != 0 )
- CV_ERROR( CV_BadCOI, "" );
-
- if( filter != CV_GAUSSIAN_5x5 )
- CV_ERROR( CV_StsBadArg, "this filter type not supported" );
-
- if( !CV_ARE_TYPES_EQ( src, dst ))
- CV_ERROR( CV_StsUnmatchedFormats, "" );
-
- src_size = cvGetMatSize(src);
- dst_size = cvGetMatSize(dst);
- src_size2.width = src_size.width & -2;
- src_size2.height = src_size.height & -2;
-
- if( (unsigned)(dst_size.width - src_size.width/2) > 1 ||
- (unsigned)(dst_size.height - src_size.height/2) > 1 )
- CV_ERROR( CV_StsUnmatchedSizes, "" );
-
- // current restriction of PyrDownBorder*
- if( src_size.width <= 2 && dst_size.width != 1 ||
- src_size.height <= 2 && dst_size.height != 1 )
- CV_ERROR( CV_StsUnmatchedSizes, "" );
-
- /*if( src->data.ptr == dst->data.ptr )
- CV_ERROR( CV_StsInplaceNotSupported, "" );*/
-
- type = CV_MAT_TYPE(src->type);
- depth = CV_MAT_DEPTH(type);
- cn = CV_MAT_CN(type);
-
- if( cn != 1 && cn != 3 )
- CV_ERROR( CV_StsUnsupportedFormat, "The images must have 1 or 3 channel" );
-
- func = (CvPyramidFunc)pyrdown_tab.fn_2d[depth];
-
- if( !func )
- CV_ERROR( CV_StsUnsupportedFormat, "" );
-
- if( icvPyrDownGetBufSize_Gauss5x5_p )
- {
- ipp_func = type == CV_8UC1 ? icvPyrDown_Gauss5x5_8u_C1R_p :
- type == CV_8UC3 ? icvPyrDown_Gauss5x5_8u_C3R_p :
- type == CV_32FC1 ? icvPyrDown_Gauss5x5_32f_C1R_p :
- type == CV_32FC3 ? icvPyrDown_Gauss5x5_32f_C3R_p : 0;
-
- use_ipp = ipp_func && icvPyrDownGetBufSize_Gauss5x5_p( src_size2.width,
- icvDepthToDataType(type), cn, &buffer_size ) >= 0;
- }
-
- if( !use_ipp )
- icvPyrDownG5x5_GetBufSize( src_size2.width,
- icvDepthToDataType(type), cn, &buffer_size );
-
- if( buffer_size <= CV_MAX_LOCAL_SIZE )
- {
- buffer = cvStackAlloc( buffer_size );
- local_alloc = 1;
- }
- else
- CV_CALL( buffer = cvAlloc( buffer_size ));
-
- if( !use_ipp )
- func( src->data.ptr, src->step, dst->data.ptr,
- dst->step, src_size2, buffer, cn );
- else
- IPPI_CALL( ipp_func( src->data.ptr, src->step ? src->step : CV_STUB_STEP,
- dst->data.ptr, dst->step ? dst->step : CV_STUB_STEP, src_size2, buffer ));
-
- if( src_size.width != dst_size.width*2 || src_size.height != dst_size.height*2 )
- {
- CvPyrDownBorderFunc border_func = (CvPyrDownBorderFunc)
- pyrdownborder_tab.fn_2d[CV_MAT_DEPTH(type)];
-
- if( !border_func )
- CV_ERROR( CV_StsUnsupportedFormat, "" );
-
- IPPI_CALL( border_func( src->data.ptr, src->step, src_size,
- dst->data.ptr, dst->step, dst_size, CV_MAT_CN(type) ));
- }
-
- __END__;
-
- if( buffer && !local_alloc )
- cvFree( &buffer );
-}
-
-
-CV_IMPL void
-cvReleasePyramid( CvMat*** _pyramid, int extra_layers )
-{
- CV_FUNCNAME( "cvReleasePyramid" );
-
- __BEGIN__;
-
- CvMat** pyramid;
- int i;
-
- if( !_pyramid )
- CV_ERROR( CV_StsNullPtr, "" );
-
- pyramid = *_pyramid;
-
- if( pyramid )
- {
- for( i = 0; i <= extra_layers; i++ )
- cvReleaseMat( &pyramid[i] );
- }
-
- cvFree( _pyramid );
-
- __END__;
-}
-
-
-CV_IMPL CvMat**
-cvCreatePyramid( const CvArr* srcarr, int extra_layers, double rate,
- const CvSize* layer_sizes, CvArr* bufarr,
- int calc, int filter )
-{
- CvMat** pyramid = 0;
- const float eps = 0.1f;
-
- CV_FUNCNAME( "cvCreatePyramid" );
-
- __BEGIN__;
-
- int i, elem_size, layer_step;
- CvMat stub, *src;
- CvSize size, layer_size;
- uchar* ptr = 0;
-
- CV_CALL( src = cvGetMat( srcarr, &stub ));
-
- if( extra_layers < 0 )
- CV_ERROR( CV_StsOutOfRange, "The number of extra layers must be non negative" );
-
- elem_size = CV_ELEM_SIZE(src->type);
- size = cvGetMatSize(src);
-
- if( bufarr )
- {
- CvMat bstub, *buf;
- int bufsize = 0;
-
- CV_CALL( buf = cvGetMat( bufarr, &bstub ));
- bufsize = buf->rows*buf->cols*CV_ELEM_SIZE(buf->type);
- layer_size = size;
- for( i = 1; i <= extra_layers; i++ )
- {
- if( !layer_sizes )
- {
- layer_size.width = cvRound(layer_size.width*rate+eps);
- layer_size.height = cvRound(layer_size.height*rate+eps);
- }
- else
- layer_size = layer_sizes[i-1];
- layer_step = layer_size.width*elem_size;
- bufsize -= layer_step*layer_size.height;
- }
-
- if( bufsize < 0 )
- CV_ERROR( CV_StsOutOfRange, "The buffer is too small to fit the pyramid" );
- ptr = buf->data.ptr;
- }
-
- CV_CALL( pyramid = (CvMat**)cvAlloc( (extra_layers+1)*sizeof(pyramid[0]) ));
- memset( pyramid, 0, (extra_layers+1)*sizeof(pyramid[0]) );
-
- pyramid[0] = cvCreateMatHeader( size.height, size.width, src->type );
- cvSetData( pyramid[0], src->data.ptr, src->step );
- layer_size = size;
-
- for( i = 1; i <= extra_layers; i++ )
- {
- if( !layer_sizes )
- {
- layer_size.width = cvRound(layer_size.width*rate + eps);
- layer_size.height = cvRound(layer_size.height*rate + eps);
- }
- else
- layer_size = layer_sizes[i];
-
- if( bufarr )
- {
- pyramid[i] = cvCreateMatHeader( layer_size.height, layer_size.width, src->type );
- layer_step = layer_size.width*elem_size;
- cvSetData( pyramid[i], ptr, layer_step );
- ptr += layer_step*layer_size.height;
- }
- else
- pyramid[i] = cvCreateMat( layer_size.height, layer_size.width, src->type );
-
- if( calc )
- cvPyrDown( pyramid[i-1], pyramid[i], filter );
- //cvResize( pyramid[i-1], pyramid[i], CV_INTER_LINEAR );
- }
-
- __END__;
-
- if( cvGetErrStatus() < 0 )
- cvReleasePyramid( &pyramid, extra_layers );
-
- return pyramid;
-}
-
-
-/* MSVC .NET 2003 spends a long time building this, thus, as the code
- is not performance-critical, we turn off the optimization here */
-#if defined _MSC_VER && _MSC_VER > 1300 && !defined CV_ICC
-#pragma optimize("", off)
-#endif
-
-ICV_DEF_PYR_BORDER_FUNC( 8u, uchar, int, PD_SCALE_INT )
-ICV_DEF_PYR_BORDER_FUNC( 16u, ushort, int, PD_SCALE_INT )
-ICV_DEF_PYR_BORDER_FUNC( 16s, short, int, PD_SCALE_INT )
-ICV_DEF_PYR_BORDER_FUNC( 32f, float, float, PD_SCALE_FLT )
-ICV_DEF_PYR_BORDER_FUNC( 64f, double, double, PD_SCALE_FLT )
-
-#define ICV_DEF_INIT_PYR_BORDER_TABLE( FUNCNAME ) \
-static void icvInit##FUNCNAME##Table( CvFuncTable* tab ) \
-{ \
- tab->fn_2d[CV_8U] = (void*)icv##FUNCNAME##_8u_CnR; \
- tab->fn_2d[CV_8S] = 0; \
- tab->fn_2d[CV_16U] = (void*)icv##FUNCNAME##_16u_CnR; \
- tab->fn_2d[CV_16S] = (void*)icv##FUNCNAME##_16s_CnR; \
- tab->fn_2d[CV_32F] = (void*)icv##FUNCNAME##_32f_CnR; \
- tab->fn_2d[CV_64F] = (void*)icv##FUNCNAME##_64f_CnR; \
-}
-
-ICV_DEF_INIT_PYR_BORDER_TABLE( PyrDownBorder )
-
-/* End of file. */
projects / opencv / blobdiff