📄 cvpyramids.c
字号:
{ \
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) ) ⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -