cvsamplers.cpp.svn-base
来自「非结构化路识别」· SVN-BASE 代码 · 共 1,027 行 · 第 1/4 页
SVN-BASE
1,027 行
}
__END__;
return count;
}
static const void*
icvAdjustRect( const void* srcptr, int src_step, int pix_size,
CvSize src_size, CvSize win_size,
CvPoint ip, CvRect* pRect )
{
CvRect rect;
const char* src = (const char*)srcptr;
if( ip.x >= 0 )
{
src += ip.x*pix_size;
rect.x = 0;
}
else
{
rect.x = -ip.x;
if( rect.x > win_size.width )
rect.x = win_size.width;
}
if( ip.x + win_size.width < src_size.width )
rect.width = win_size.width;
else
{
rect.width = src_size.width - ip.x - 1;
if( rect.width < 0 )
{
src += rect.width*pix_size;
rect.width = 0;
}
assert( rect.width <= win_size.width );
}
if( ip.y >= 0 )
{
src += ip.y * src_step;
rect.y = 0;
}
else
rect.y = -ip.y;
if( ip.y + win_size.height < src_size.height )
rect.height = win_size.height;
else
{
rect.height = src_size.height - ip.y - 1;
if( rect.height < 0 )
{
src += rect.height*src_step;
rect.height = 0;
}
}
*pRect = rect;
return src - rect.x*pix_size;
}
#define ICV_DEF_GET_RECT_SUB_PIX_FUNC( flavor, srctype, dsttype, worktype, \
cast_macro, scale_macro, cast_macro2 )\
IPCVAPI_IMPL( CvStatus, icvGetRectSubPix_##flavor##_C1R, \
( const srctype* src, int src_step, CvSize src_size, \
dsttype* dst, int dst_step, CvSize win_size, CvPoint2D32f center )) \
{ \
CvPoint ip; \
worktype a11, a12, a21, a22, b1, b2; \
float a, b; \
int i, j; \
\
center.x -= (win_size.width - 1)*0.5f; \
center.y -= (win_size.height - 1)*0.5f; \
\
ip.x = cvFloor( center.x ); \
ip.y = cvFloor( center.y ); \
\
a = center.x - ip.x; \
b = center.y - ip.y; \
a11 = scale_macro((1.f-a)*(1.f-b)); \
a12 = scale_macro(a*(1.f-b)); \
a21 = scale_macro((1.f-a)*b); \
a22 = scale_macro(a*b); \
b1 = scale_macro(1.f - b); \
b2 = scale_macro(b); \
\
src_step /= sizeof( src[0] ); \
\
if( 0 <= ip.x && ip.x + win_size.width < src_size.width && \
0 <= ip.y && ip.y + win_size.height < src_size.height ) \
{ \
/* extracted rectangle is totally inside the image */ \
src += ip.y * src_step + ip.x; \
\
for( i = 0; i < win_size.height; i++, src += src_step, \
(char*&)dst += dst_step ) \
{ \
for( j = 0; j <= win_size.width - 2; j += 2 ) \
{ \
worktype s0 = cast_macro(src[j])*a11 + \
cast_macro(src[j+1])*a12 + \
cast_macro(src[j+src_step])*a21 + \
cast_macro(src[j+src_step+1])*a22; \
worktype s1 = cast_macro(src[j+1])*a11 + \
cast_macro(src[j+2])*a12 + \
cast_macro(src[j+src_step+1])*a21 + \
cast_macro(src[j+src_step+2])*a22; \
\
dst[j] = (dsttype)cast_macro2(s0); \
dst[j+1] = (dsttype)cast_macro2(s1); \
} \
\
for( ; j < win_size.width; j++ ) \
{ \
worktype s0 = cast_macro(src[j])*a11 + \
cast_macro(src[j+1])*a12 + \
cast_macro(src[j+src_step])*a21 + \
cast_macro(src[j+src_step+1])*a22; \
\
dst[j] = (dsttype)cast_macro2(s0); \
} \
} \
} \
else \
{ \
CvRect r; \
\
src = (const srctype*)icvAdjustRect( src, src_step*sizeof(*src), \
sizeof(*src), src_size, win_size,ip, &r); \
\
for( i = 0; i < win_size.height; i++, (char*&)dst += dst_step ) \
{ \
const srctype *src2 = src + src_step; \
\
if( i < r.y || i >= r.height ) \
src2 -= src_step; \
\
for( j = 0; j < r.x; j++ ) \
{ \
worktype s0 = cast_macro(src[r.x])*b1 + \
cast_macro(src2[r.x])*b2; \
\
dst[j] = (dsttype)cast_macro2(s0); \
} \
\
for( ; j < r.width; j++ ) \
{ \
worktype s0 = cast_macro(src[j])*a11 + \
cast_macro(src[j+1])*a12 + \
cast_macro(src2[j])*a21 + \
cast_macro(src2[j+1])*a22; \
\
dst[j] = (dsttype)cast_macro2(s0); \
} \
\
for( ; j < win_size.width; j++ ) \
{ \
worktype s0 = cast_macro(src[r.width])*b1 + \
cast_macro(src2[r.width])*b2; \
\
dst[j] = (dsttype)cast_macro2(s0); \
} \
\
if( i < r.height ) \
src = src2; \
} \
} \
\
return CV_OK; \
}
#define ICV_DEF_GET_RECT_SUB_PIX_FUNC_C3( flavor, srctype, dsttype, worktype, \
cast_macro, scale_macro, mul_macro )\
IPCVAPI_IMPL( CvStatus, icvGetRectSubPix_##flavor##_C3R, \
( const srctype* src, int src_step, CvSize src_size, \
dsttype* dst, int dst_step, CvSize win_size, CvPoint2D32f center )) \
{ \
CvPoint ip; \
worktype a, b; \
int i, j; \
\
center.x -= (win_size.width - 1)*0.5f; \
center.y -= (win_size.height - 1)*0.5f; \
\
ip.x = cvFloor( center.x ); \
ip.y = cvFloor( center.y ); \
\
a = scale_macro( center.x - ip.x ); \
b = scale_macro( center.y - ip.y ); \
\
src_step /= sizeof( src[0] ); \
\
if( 0 <= ip.x && ip.x + win_size.width < src_size.width && \
0 <= ip.y && ip.y + win_size.height < src_size.height ) \
{ \
/* extracted rectangle is totally inside the image */ \
src += ip.y * src_step + ip.x*3; \
\
for( i = 0; i < win_size.height; i++, src += src_step, \
(char*&)dst += dst_step ) \
{ \
for( j = 0; j < win_size.width; j++ ) \
{ \
worktype s0 = cast_macro(src[j*3]); \
worktype s1 = cast_macro(src[j*3 + src_step]); \
s0 += mul_macro( a, (cast_macro(src[j*3+3]) - s0)); \
s1 += mul_macro( a, (cast_macro(src[j*3+3+src_step]) - s1));\
dst[j*3] = (dsttype)(s0 + mul_macro( b, (s1 - s0))); \
\
s0 = cast_macro(src[j*3+1]); \
s1 = cast_macro(src[j*3+1 + src_step]); \
s0 += mul_macro( a, (cast_macro(src[j*3+4]) - s0)); \
s1 += mul_macro( a, (cast_macro(src[j*3+4+src_step]) - s1));\
dst[j*3+1] = (dsttype)(s0 + mul_macro( b, (s1 - s0))); \
\
s0 = cast_macro(src[j*3+2]); \
s1 = cast_macro(src[j*3+2 + src_step]); \
s0 += mul_macro( a, (cast_macro(src[j*3+5]) - s0)); \
s1 += mul_macro( a, (cast_macro(src[j*3+5+src_step]) - s1));\
dst[j*3+2] = (dsttype)(s0 + mul_macro( b, (s1 - s0))); \
} \
} \
} \
else \
{ \
CvRect r; \
\
src = (const srctype*)icvAdjustRect( src, src_step*sizeof(*src), \
sizeof(*src)*3, src_size, win_size, ip, &r ); \
\
for( i = 0; i < win_size.height; i++, (char*&)dst += dst_step ) \
{ \
const srctype *src2 = src + src_step; \
\
if( i < r.y || i >= r.height ) \
src2 -= src_step; \
\
for( j = 0; j < r.x; j++ ) \
{ \
worktype s0 = cast_macro(src[r.x*3]); \
worktype s1 = cast_macro(src2[r.x*3]); \
dst[j*3] = (dsttype)(s0 + mul_macro( b, (s1 - s0))); \
\
s0 = cast_macro(src[r.x*3+1]); \
s1 = cast_macro(src2[r.x*3+1]); \
dst[j*3+1] = (dsttype)(s0 + mul_macro( b, (s1 - s0))); \
\
s0 = cast_macro(src[r.x*3+2]); \
s1 = cast_macro(src2[r.x*3+2]); \
dst[j*3+2] = (dsttype)(s0 + mul_macro( b, (s1 - s0))); \
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