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mirror of https://github.com/opencv/opencv.git synced 2026-07-30 07:43:03 +04:00

updated patch to bring in the first functions with "transparent API"

This commit is contained in:
Vadim Pisarevsky
2013-11-18 11:48:00 -05:00
parent bb4bf7a1f9
commit d914f20a4c
64 changed files with 13355 additions and 318 deletions
+253
View File
@@ -1436,6 +1436,181 @@ Size _InputArray::size(int i) const
}
}
int _InputArray::sizend(int* sz, int i) const
{
int j, d=0, k = kind();
if( k == NONE )
;
else if( k == MAT )
{
CV_Assert( i < 0 );
const Mat& m = *(const Mat*)obj;
d = m.dims;
if(sz)
for(j = 0; j < d; j++)
sz[j] = m.size.p[j];
}
else if( k == UMAT )
{
CV_Assert( i < 0 );
const UMat& m = *(const UMat*)obj;
d = m.dims;
if(sz)
for(j = 0; j < d; j++)
sz[j] = m.size.p[j];
}
else if( k == STD_VECTOR_MAT && i >= 0 )
{
const std::vector<Mat>& vv = *(const std::vector<Mat>*)obj;
CV_Assert( i < (int)vv.size() );
const Mat& m = vv[i];
d = m.dims;
if(sz)
for(j = 0; j < d; j++)
sz[j] = m.size.p[j];
}
else if( k == STD_VECTOR_UMAT && i >= 0 )
{
const std::vector<UMat>& vv = *(const std::vector<UMat>*)obj;
CV_Assert( i < (int)vv.size() );
const UMat& m = vv[i];
d = m.dims;
if(sz)
for(j = 0; j < d; j++)
sz[j] = m.size.p[j];
}
else
{
Size sz2d = size(i);
d = 2;
if(sz)
{
sz[0] = sz2d.height;
sz[1] = sz2d.width;
}
}
return d;
}
bool _InputArray::sameSize(const _InputArray& arr) const
{
int k1 = kind(), k2 = arr.kind();
Size sz1;
if( k1 == MAT )
{
const Mat* m = ((const Mat*)obj);
if( k2 == MAT )
return m->size == ((const Mat*)arr.obj)->size;
if( k2 == UMAT )
return m->size == ((const UMat*)arr.obj)->size;
if( m->dims > 2 )
return false;
sz1 = m->size();
}
else if( k1 == UMAT )
{
const UMat* m = ((const UMat*)obj);
if( k2 == MAT )
return m->size == ((const Mat*)arr.obj)->size;
if( k2 == UMAT )
return m->size == ((const UMat*)arr.obj)->size;
if( m->dims > 2 )
return false;
sz1 = m->size();
}
else
sz1 = size();
if( arr.dims() > 2 )
return false;
return sz1 == arr.size();
}
int _InputArray::dims(int i) const
{
int k = kind();
if( k == MAT )
{
CV_Assert( i < 0 );
return ((const Mat*)obj)->dims;
}
if( k == EXPR )
{
CV_Assert( i < 0 );
return ((const MatExpr*)obj)->a.dims;
}
if( k == UMAT )
{
CV_Assert( i < 0 );
return ((const UMat*)obj)->dims;
}
if( k == MATX )
{
CV_Assert( i < 0 );
return 2;
}
if( k == STD_VECTOR )
{
CV_Assert( i < 0 );
return 2;
}
if( k == NONE )
return 0;
if( k == STD_VECTOR_VECTOR )
{
const std::vector<std::vector<uchar> >& vv = *(const std::vector<std::vector<uchar> >*)obj;
if( i < 0 )
return 1;
CV_Assert( i < (int)vv.size() );
return 2;
}
if( k == STD_VECTOR_MAT )
{
const std::vector<Mat>& vv = *(const std::vector<Mat>*)obj;
if( i < 0 )
return 1;
CV_Assert( i < (int)vv.size() );
return vv[i].dims;
}
if( k == OPENGL_BUFFER )
{
CV_Assert( i < 0 );
return 2;
}
if( k == GPU_MAT )
{
CV_Assert( i < 0 );
return 2;
}
if( k == OCL_MAT )
{
return 2;
}
CV_Assert( k == CUDA_MEM );
//if( k == CUDA_MEM )
{
CV_Assert( i < 0 );
return 2;
}
}
size_t _InputArray::total(int i) const
{
int k = kind();
@@ -1570,6 +1745,61 @@ bool _InputArray::empty() const
return ((const cuda::CudaMem*)obj)->empty();
}
bool _InputArray::isContinuous(int i) const
{
int k = kind();
if( k == MAT )
return i < 0 ? ((const Mat*)obj)->isContinuous() : true;
if( k == UMAT )
return i < 0 ? ((const UMat*)obj)->isContinuous() : true;
if( k == EXPR || k == MATX || k == STD_VECTOR || k == NONE || k == STD_VECTOR_VECTOR)
return true;
if( k == STD_VECTOR_MAT )
{
const std::vector<Mat>& vv = *(const std::vector<Mat>*)obj;
CV_Assert((size_t)i < vv.size());
return vv[i].isContinuous();
}
if( k == STD_VECTOR_UMAT )
{
const std::vector<UMat>& vv = *(const std::vector<UMat>*)obj;
CV_Assert((size_t)i < vv.size());
return vv[i].isContinuous();
}
CV_Error(CV_StsNotImplemented, "This method is not implemented for oclMat yet");
return false;
}
void _InputArray::copyTo(const _OutputArray& arr) const
{
int k = kind();
if( k == NONE )
arr.release();
else if( k == MAT || k == MATX || k == STD_VECTOR )
{
Mat m = getMat();
m.copyTo(arr);
}
else if( k == EXPR )
{
const MatExpr& e = *((MatExpr*)obj);
if( arr.kind() == MAT )
arr.getMatRef() = e;
else
Mat(e).copyTo(arr);
}
else if( k == UMAT )
((UMat*)obj)->copyTo(arr);
else
CV_Error(Error::StsNotImplemented, "");
}
bool _OutputArray::fixedSize() const
{
@@ -1899,6 +2129,12 @@ void _OutputArray::create(int dims, const int* sizes, int mtype, int i,
CV_Error(Error::StsNotImplemented, "Unknown/unsupported array type");
}
void _OutputArray::createSameSize(const _InputArray& arr, int mtype) const
{
int sz[CV_MAX_DIM], d = arr.sizend(sz);
create(d, sz, mtype);
}
void _OutputArray::release() const
{
CV_Assert(!fixedSize());
@@ -2010,6 +2246,23 @@ cuda::CudaMem& _OutputArray::getCudaMemRef() const
return *(cuda::CudaMem*)obj;
}
void _OutputArray::setTo(const _InputArray& arr) const
{
int k = kind();
if( k == NONE )
;
else if( k == MAT || k == MATX || k == STD_VECTOR )
{
Mat m = getMat();
m.setTo(arr);
}
else if( k == UMAT )
((UMat*)obj)->setTo(arr);
else
CV_Error(Error::StsNotImplemented, "");
}
static _InputOutputArray _none;
InputOutputArray noArray() { return _none; }