cvcopy.cpp.svn-base
来自「非结构化路识别」· SVN-BASE 代码 · 共 1,092 行 · 第 1/3 页
SVN-BASE
1,092 行
CvMat stub, *mat = (CvMat*)arr;
CvSize size;
int mat_step;
if( !CV_IS_MAT( mat ))
{
if( CV_IS_MATND(mat))
{
CvMatND stub;
CvMatNDIterator iterator;
CV_CALL( icvPrepareArrayOp( 1, &arr, 0, &stub, &iterator ));
iterator.size.width *= icvPixSize[CV_MAT_TYPE(iterator.hdr[0]->type)];
if( iterator.size.width <= CV_MAX_INLINE_MAT_OP_SIZE*(int)sizeof(double) )
{
do
{
memset( iterator.ptr[0], 0, iterator.size.width );
}
while( icvNextMatNDSlice( &iterator ));
}
else
{
do
{
icvSetZero_8u_C1R( iterator.ptr[0], CV_STUB_STEP, iterator.size );
}
while( icvNextMatNDSlice( &iterator ));
}
EXIT;
}
else if( CV_IS_SPARSE_MAT(mat))
{
CvSparseMat* mat1 = (CvSparseMat*)mat;
cvClearSet( mat1->heap );
if( mat1->hashtable )
memset( mat1->hashtable, 0, mat1->hashsize*sizeof(mat1->hashtable[0]));
mat1->total = 0;
EXIT;
}
else
{
int coi = 0;
CV_CALL( mat = cvGetMat( mat, &stub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
}
size = icvGetMatSize( mat );
size.width *= icvPixSize[CV_MAT_TYPE(mat->type)];
mat_step = mat->step;
if( CV_IS_MAT_CONT( mat->type ))
{
size.width *= size.height;
if( size.width <= CV_MAX_INLINE_MAT_OP_SIZE*(int)sizeof(double) )
{
memset( mat->data.ptr, 0, size.width );
EXIT;
}
mat_step = CV_STUB_STEP;
size.height = 1;
}
IPPI_CALL( icvSetZero_8u_C1R( mat->data.ptr, mat_step, size ));
__END__;
}
/****************************************************************************************\
* Flipping *
\****************************************************************************************/
#define ICV_DEF_FLIP_HZ_CASE_C1( arrtype, src, dst, len ) \
for( i = 0; i < (len)/2; i++ ) \
{ \
arrtype t0 = (src)[i]; \
arrtype t1 = (src)[(len) - i - 1]; \
(dst)[i] = t1; \
(dst)[(len) - i - 1] = t0; \
}
#define ICV_DEF_FLIP_HZ_CASE_C3( arrtype, src, dst, len ) \
for( i = 0; i < (len)/2; i++ ) \
{ \
arrtype t0 = (src)[i*3]; \
arrtype t1 = (src)[((len) - i)*3 - 3]; \
(dst)[i*3] = t1; \
(dst)[((len) - i)*3 - 3] = t0; \
t0 = (src)[i*3 + 1]; \
t1 = (src)[((len) - i)*3 - 2]; \
(dst)[i*3 + 1] = t1; \
(dst)[((len) - i)*3 - 2] = t0; \
t0 = (src)[i*3 + 2]; \
t1 = (src)[((len) - i)*3 - 1]; \
(dst)[i*3 + 2] = t1; \
(dst)[((len) - i)*3 - 1] = t0; \
}
#define ICV_DEF_FLIP_HZ_CASE_C4( arrtype, src, dst, len ) \
for( i = 0; i < (len)/2; i++ ) \
{ \
arrtype t0 = (src)[i*4]; \
arrtype t1 = (src)[((len) - i)*4 - 3]; \
(dst)[i*4] = t1; \
(dst)[((len) - i)*4 - 3] = t0; \
t0 = (src)[i*4]; \
t1 = (src)[((len) - i)*4 - 3]; \
(dst)[i*4] = t1; \
(dst)[((len) - i)*4 - 3] = t0; \
t0 = (src)[i*4 + 1]; \
t1 = (src)[((len) - i)*4 - 2]; \
(dst)[i*4 + 1] = t1; \
(dst)[((len) - i)*4 - 2] = t0; \
t0 = (src)[i*4 + 2]; \
t1 = (src)[((len) - i)*4 - 1]; \
(dst)[i*4 + 2] = t1; \
(dst)[((len) - i)*4 - 1] = t0; \
}
#define ICV_DEF_FLIP_HZ_FUNC( flavor, arrtype, cn ) \
static CvStatus CV_STDCALL \
icvFlipHorz_##flavor( const arrtype* src, int srcstep, \
arrtype* dst, int dststep, CvSize size ) \
{ \
int y, i; \
for( y = 0; y < size.height; y++, (char*&)src += srcstep, \
(char*&)dst += dststep ) \
{ \
ICV_DEF_FLIP_HZ_CASE_C##cn( arrtype, src, dst, size.width ) \
} \
\
return CV_OK; \
}
ICV_DEF_FLIP_HZ_FUNC( 8u_C1R, uchar, 1 )
ICV_DEF_FLIP_HZ_FUNC( 8u_C2R, ushort, 1 )
ICV_DEF_FLIP_HZ_FUNC( 8u_C3R, uchar, 3 )
ICV_DEF_FLIP_HZ_FUNC( 16u_C2R, int, 1 )
ICV_DEF_FLIP_HZ_FUNC( 16u_C3R, ushort, 3 )
ICV_DEF_FLIP_HZ_FUNC( 32s_C2R, int64, 1 )
ICV_DEF_FLIP_HZ_FUNC( 32s_C3R, int, 3 )
ICV_DEF_FLIP_HZ_FUNC( 64s_C2R, int, 4 )
ICV_DEF_FLIP_HZ_FUNC( 64s_C3R, int64, 3 )
ICV_DEF_FLIP_HZ_FUNC( 64s_C4R, int64, 4 )
CV_DEF_INIT_PIXSIZE_TAB_2D( FlipHorz, R )
static CvStatus
icvFlipVert_8u_C1R( const uchar* src, int srcstep,
uchar* dst, int dststep, CvSize size )
{
int y, i;
const uchar* src1 = src + (size.height - 1)*srcstep;
uchar* dst1 = dst + (size.height - 1)*dststep;
for( y = 0; y < (size.height + 1)/2; y++, src += srcstep, src1 -= srcstep,
dst += dststep, dst1 -= dststep )
{
for( i = 0; i <= size.width - 16; i += 16 )
{
int t0 = ((int*)(src + i))[0];
int t1 = ((int*)(src1 + i))[0];
((int*)(dst + i))[0] = t1;
((int*)(dst1 + i))[0] = t0;
t0 = ((int*)(src + i))[1];
t1 = ((int*)(src1 + i))[1];
((int*)(dst + i))[1] = t1;
((int*)(dst1 + i))[1] = t0;
t0 = ((int*)(src + i))[2];
t1 = ((int*)(src1 + i))[2];
((int*)(dst + i))[2] = t1;
((int*)(dst1 + i))[2] = t0;
t0 = ((int*)(src + i))[3];
t1 = ((int*)(src1 + i))[3];
((int*)(dst + i))[3] = t1;
((int*)(dst1 + i))[3] = t0;
}
for( ; i <= size.width - 4; i += 4 )
{
int t0 = ((int*)(src + i))[0];
int t1 = ((int*)(src1 + i))[0];
((int*)(dst + i))[0] = t1;
((int*)(dst1 + i))[0] = t0;
}
for( ; i < size.width; i++ )
{
uchar t0 = src[i];
uchar t1 = src1[i];
dst[i] = t1;
dst1[i] = t0;
}
}
return CV_OK;
}
CV_IMPL void
cvFlip( const CvArr* srcarr, CvArr* dstarr, int flip_mode )
{
static CvBtFuncTable tab;
static int inittab = 0;
CV_FUNCNAME( "cvFlip" );
__BEGIN__;
CvMat sstub, *src = (CvMat*)srcarr;
CvMat dstub, *dst = (CvMat*)dstarr;
CvSize size;
CvFunc2D_2A func = 0;
int pix_size;
if( !inittab )
{
icvInitFlipHorzRTable( &tab );
inittab = 1;
}
if( !CV_IS_MAT( src ))
{
int coi = 0;
CV_CALL( src = cvGetMat( src, &sstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !dst )
dst = src;
else if( !CV_IS_MAT( dst ))
{
int coi = 0;
CV_CALL( dst = cvGetMat( dst, &dstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
if( !CV_ARE_SIZES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedSizes, "" );
size = icvGetMatSize( src );
pix_size = icvPixSize[CV_MAT_TYPE( src->type )];
if( flip_mode == 0 )
{
size.width *= pix_size;
IPPI_CALL( icvFlipVert_8u_C1R( src->data.ptr, src->step,
dst->data.ptr, dst->step, size ));
}
else
{
int inplace = src->data.ptr == dst->data.ptr;
uchar* dst_data = dst->data.ptr;
int dst_step = dst->step;
func = (CvFunc2D_2A)(tab.fn_2d[pix_size]);
if( !func )
CV_ERROR( CV_StsUnsupportedFormat, "" );
if( flip_mode < 0 && !inplace )
{
dst_data += dst_step * (dst->height - 1);
dst_step = -dst_step;
}
IPPI_CALL( func( src->data.ptr, src->step, dst_data, dst_step, size ));
if( flip_mode < 0 && inplace )
{
size.width *= pix_size;
IPPI_CALL( icvFlipVert_8u_C1R( dst->data.ptr, dst->step,
dst->data.ptr, dst->step, size ));
}
}
__END__;
}
/* cvRepeat */
CV_IMPL void
cvRepeat( const CvArr* srcarr, CvArr* dstarr )
{
CV_FUNCNAME( "cvRepeat" );
__BEGIN__;
CvMat sstub, *src = (CvMat*)srcarr;
CvMat dstub, *dst = (CvMat*)dstarr;
CvSize srcsize, dstsize;
int pix_size;
int x, y, k, l;
if( !CV_IS_MAT( src ))
{
int coi = 0;
CV_CALL( src = cvGetMat( src, &sstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !CV_IS_MAT( dst ))
{
int coi = 0;
CV_CALL( dst = cvGetMat( dst, &dstub, &coi ));
if( coi != 0 )
CV_ERROR( CV_BadCOI, "coi is not supported" );
}
if( !CV_ARE_TYPES_EQ( src, dst ))
CV_ERROR( CV_StsUnmatchedFormats, "" );
srcsize = icvGetMatSize( src );
dstsize = icvGetMatSize( dst );
pix_size = icvPixSize[CV_MAT_TYPE( src->type )];
for( y = 0, k = 0; y < dstsize.height; y++ )
{
for( x = 0; x < dstsize.width; x += srcsize.width )
{
l = srcsize.width;
if( l > dstsize.width - x )
l = dstsize.width - x;
memcpy( dst->data.ptr + y*dst->step + x*pix_size,
src->data.ptr + k*src->step + x*pix_size, l*pix_size );
}
if( ++k == srcsize.height )
k = 0;
}
__END__;
}
/* End of file. */
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