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added cv::meanStdDev to T-API

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This commit is contained in:
Ilya Lavrenov 2013-12-01 14:45:48 +04:00
parent b8edc2cc4d
commit 88bceb5060
1 changed files with 49 additions and 4 deletions
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53
modules/core/src/stat.cpp
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@ -464,16 +464,16 @@ template <typename T> Scalar ocl_part_sum(Mat m)
return s;
}
enum { OP_SUM = 0, OP_SUM_ABS = 1, OP_SUM_SQR = 2 };
enum { OCL_OP_SUM = 0, OCL_OP_SUM_ABS = 1, OCL_OP_SUM_SQR = 2 };
static bool ocl_sum( InputArray _src, Scalar & res, int sum_op )
{
CV_Assert(sum_op == OP_SUM || sum_op == OP_SUM_ABS || sum_op == OP_SUM_SQR);
CV_Assert(sum_op == OCL_OP_SUM || sum_op == OCL_OP_SUM_ABS || sum_op == OCL_OP_SUM_SQR);
int type = _src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
bool doubleSupport = ocl::Device::getDefault().doubleFPConfig() > 0;
if ( (!doubleSupport && depth == CV_64F) || cn > 4 || cn == 3 )
if ( (!doubleSupport && depth == CV_64F) || cn > 4 || cn == 3 || _src.dims() > 2 )
return false;
int dbsize = ocl::Device::getDefault().maxComputeUnits();
@ -514,7 +514,7 @@ static bool ocl_sum( InputArray _src, Scalar & res, int sum_op )
cv::Scalar cv::sum( InputArray _src )
{
Scalar _res;
if (ocl::useOpenCL() && _src.isUMat() && ocl_sum(_src, _res, OP_SUM))
if (ocl::useOpenCL() && _src.isUMat() && ocl_sum(_src, _res, OCL_OP_SUM))
return _res;
Mat src = _src.getMat();
@ -798,9 +798,54 @@ cv::Scalar cv::mean( InputArray _src, InputArray _mask )
return s*(nz0 ? 1./nz0 : 0);
}
namespace cv {
static bool ocl_meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv )
{
Scalar mean, stddev;
if (!ocl_sum(_src, mean, OCL_OP_SUM))
return false;
if (!ocl_sum(_src, stddev, OCL_OP_SUM_SQR))
return false;
double total = 1.0 / _src.total();
int k, j, cn = _src.channels();
for (int i = 0; i < cn; ++i)
{
mean[i] *= total;
stddev[i] = std::sqrt(std::max(stddev[i] * total - mean[i] * mean[i] , 0.));
}
for( j = 0; j < 2; j++ )
{
const double * const sptr = j == 0 ? &mean[0] : &stddev[0];
_OutputArray _dst = j == 0 ? _mean : _sdv;
if( !_dst.needed() )
continue;
if( !_dst.fixedSize() )
_dst.create(cn, 1, CV_64F, -1, true);
Mat dst = _dst.getMat();
int dcn = (int)dst.total();
CV_Assert( dst.type() == CV_64F && dst.isContinuous() &&
(dst.cols == 1 || dst.rows == 1) && dcn >= cn );
double* dptr = dst.ptr<double>();
for( k = 0; k < cn; k++ )
dptr[k] = sptr[k];
for( ; k < dcn; k++ )
dptr[k] = 0;
}
return true;
}
}
void cv::meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv, InputArray _mask )
{
if (ocl::useOpenCL() && _src.isUMat() && _mask.empty() && ocl_meanStdDev(_src, _mean, _sdv))
return;
Mat src = _src.getMat(), mask = _mask.getMat();
CV_Assert( mask.empty() || mask.type() == CV_8U );