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Merge pull request #2203 from ilya-lavrenov:tapi_umat_vectors

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This commit is contained in:
Andrey Pavlenko 2014-01-27 16:06:12 +04:00 committed by OpenCV Buildbot
commit ce48b6afde
3 changed files with 85 additions and 17 deletions
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35
modules/core/src/convert.cpp
View File

@ -289,10 +289,12 @@ static bool ocl_split( InputArray _m, OutputArrayOfArrays _mv )
return false;
Size size = _m.size();
std::vector<UMat> & dst = *(std::vector<UMat> *)_mv.getObj();
dst.resize(cn);
_mv.create(cn, 1, depth);
for (int i = 0; i < cn; ++i)
dst[i].create(size, depth);
_mv.create(size, depth, i);
std::vector<UMat> dst;
_mv.getUMatVector(dst);
int argidx = k.set(0, ocl::KernelArg::ReadOnly(_m.getUMat()));
for (int i = 0; i < cn; ++i)
@ -317,10 +319,19 @@ void cv::split(InputArray _m, OutputArrayOfArrays _mv)
_mv.release();
return;
}
CV_Assert( !_mv.fixedType() || _mv.empty() || _mv.type() == m.depth() );
_mv.create(m.channels(), 1, m.depth());
Mat* dst = &_mv.getMatRef(0);
split(m, dst);
Size size = m.size();
int depth = m.depth(), cn = m.channels();
_mv.create(cn, 1, depth);
for (int i = 0; i < cn; ++i)
_mv.create(size, depth, i);
std::vector<Mat> dst;
_mv.getMatVector(dst);
split(m, &dst[0]);
}
void cv::merge(const Mat* mv, size_t n, OutputArray _dst)
@ -404,7 +415,8 @@ namespace cv {
static bool ocl_merge( InputArrayOfArrays _mv, OutputArray _dst )
{
const std::vector<UMat> & src = *(const std::vector<UMat> *)(_mv.getObj());
std::vector<UMat> src;
_mv.getUMatVector(src);
CV_Assert(!src.empty());
int type = src[0].type(), depth = CV_MAT_DEPTH(type);
@ -651,8 +663,9 @@ static void getUMatIndex(const std::vector<UMat> & um, int cn, int & idx, int &
static bool ocl_mixChannels(InputArrayOfArrays _src, InputOutputArrayOfArrays _dst,
const int* fromTo, size_t npairs)
{
const std::vector<UMat> & src = *(const std::vector<UMat> *)_src.getObj();
std::vector<UMat> & dst = *(std::vector<UMat> *)_dst.getObj();
std::vector<UMat> src, dst;
_src.getUMatVector(src);
_dst.getUMatVector(dst);
size_t nsrc = src.size(), ndst = dst.size();
CV_Assert(nsrc > 0 && ndst > 0);
@ -718,7 +731,7 @@ void cv::mixChannels(InputArrayOfArrays src, InputOutputArrayOfArrays dst,
if (npairs == 0 || fromTo == NULL)
return;
CV_OCL_RUN(src.isUMatVector() && dst.isUMatVector(),
CV_OCL_RUN(dst.isUMatVector(),
ocl_mixChannels(src, dst, fromTo, npairs))
bool src_is_mat = src.kind() != _InputArray::STD_VECTOR_MAT &&
@ -747,7 +760,7 @@ void cv::mixChannels(InputArrayOfArrays src, InputOutputArrayOfArrays dst,
if (fromTo.empty())
return;
CV_OCL_RUN(src.isUMatVector() && dst.isUMatVector(),
CV_OCL_RUN(dst.isUMatVector(),
ocl_mixChannels(src, dst, &fromTo[0], fromTo.size()>>1))
bool src_is_mat = src.kind() != _InputArray::STD_VECTOR_MAT &&

65
modules/core/src/matrix.cpp
View File

@ -1193,7 +1193,6 @@ Mat _InputArray::getMat(int i) const
return Mat();
}
UMat _InputArray::getUMat(int i) const
{
int k = kind();
@ -1226,7 +1225,6 @@ UMat _InputArray::getUMat(int i) const
return getMat(i).getUMat(accessFlags);
}
void _InputArray::getMatVector(std::vector<Mat>& mv) const
{
int k = kind();
@ -1504,7 +1502,6 @@ Size _InputArray::size(int i) const
}
}
int _InputArray::sizend(int* arrsz, int i) const
{
int j, d=0, k = kind();
@ -1563,7 +1560,6 @@ int _InputArray::sizend(int* arrsz, int i) const
return d;
}
bool _InputArray::sameSize(const _InputArray& arr) const
{
int k1 = kind(), k2 = arr.kind();
@ -2305,7 +2301,66 @@ void _OutputArray::create(int d, const int* sizes, int mtype, int i,
if(CV_MAT_CN(mtype) == m.channels() && ((1 << CV_MAT_TYPE(flags)) & fixedDepthMask) != 0 )
mtype = m.type();
else
CV_Assert(!fixedType() || (CV_MAT_CN(mtype) == m.channels() && ((1 << CV_MAT_TYPE(flags)) & fixedDepthMask) != 0));
CV_Assert(CV_MAT_TYPE(mtype) == m.type());
}
if(fixedSize())
{
CV_Assert(m.dims == d);
for(int j = 0; j < d; ++j)
CV_Assert(m.size[j] == sizes[j]);
}
m.create(d, sizes, mtype);
return;
}
if( k == STD_VECTOR_UMAT )
{
std::vector<UMat>& v = *(std::vector<UMat>*)obj;
if( i < 0 )
{
CV_Assert( d == 2 && (sizes[0] == 1 || sizes[1] == 1 || sizes[0]*sizes[1] == 0) );
size_t len = sizes[0]*sizes[1] > 0 ? sizes[0] + sizes[1] - 1 : 0, len0 = v.size();
CV_Assert(!fixedSize() || len == len0);
v.resize(len);
if( fixedType() )
{
int _type = CV_MAT_TYPE(flags);
for( size_t j = len0; j < len; j++ )
{
if( v[j].type() == _type )
continue;
CV_Assert( v[j].empty() );
v[j].flags = (v[j].flags & ~CV_MAT_TYPE_MASK) | _type;
}
}
return;
}
CV_Assert( i < (int)v.size() );
UMat& m = v[i];
if( allowTransposed )
{
if( !m.isContinuous() )
{
CV_Assert(!fixedType() && !fixedSize());
m.release();
}
if( d == 2 && m.dims == 2 && m.u &&
m.type() == mtype && m.rows == sizes[1] && m.cols == sizes[0] )
return;
}
if(fixedType())
{
if(CV_MAT_CN(mtype) == m.channels() && ((1 << CV_MAT_TYPE(flags)) & fixedDepthMask) != 0 )
mtype = m.type();
else
CV_Assert(CV_MAT_TYPE(mtype) == m.type());
}
if(fixedSize())
{

2
modules/core/test/ocl/test_channels.cpp
View File

@ -197,7 +197,7 @@ PARAM_TEST_CASE(Split, MatType, Channels, bool)
}
};
OCL_TEST_P(Split, DISABLED_Accuracy)
OCL_TEST_P(Split, Accuracy)
{
for (int j = 0; j < test_loop_times; j++)
{