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Backport some of C API removal in core module implementation.

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This commit is contained in:
Alexander Smorkalov
2024-11-14 11:24:00 +03:00
parent e1d66643b3
commit 1ff16cb551
2 changed files with 21 additions and 21 deletions
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modules/core/src/matmul.dispatch.cpp
+12 -12
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@@ -696,7 +696,7 @@ void calcCovarMatrix( const Mat* data, int nsamples, Mat& covar, Mat& _mean, int
Mat mean;
ctype = std::max(std::max(CV_MAT_DEPTH(ctype >= 0 ? ctype : type), _mean.depth()), CV_32F);
if( (flags & CV_COVAR_USE_AVG) != 0 )
if( (flags & cv::COVAR_USE_AVG) != 0 )
{
CV_Assert( _mean.size() == size );
if( _mean.isContinuous() && _mean.type() == ctype )
@@ -722,8 +722,8 @@ void calcCovarMatrix( const Mat* data, int nsamples, Mat& covar, Mat& _mean, int
}
}
calcCovarMatrix( _data, covar, mean, (flags & ~(CV_COVAR_ROWS|CV_COVAR_COLS)) | CV_COVAR_ROWS, ctype );
if( (flags & CV_COVAR_USE_AVG) == 0 )
calcCovarMatrix( _data, covar, mean, (flags & ~(cv::COVAR_ROWS|cv::COVAR_COLS)) | cv::COVAR_ROWS, ctype );
if( (flags & cv::COVAR_USE_AVG) == 0 )
_mean = mean.reshape(1, size.height);
}
@@ -754,7 +754,7 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
}
Mat mean;
if( (flags & CV_COVAR_USE_AVG) != 0 )
if( (flags & cv::COVAR_USE_AVG) != 0 )
{
CV_Assert( _mean.size() == size );
@@ -770,9 +770,9 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
mean = _mean.getMat().reshape(1, 1);
}
calcCovarMatrix( _data, _covar, mean, (flags & ~(CV_COVAR_ROWS|CV_COVAR_COLS)) | CV_COVAR_ROWS, ctype );
calcCovarMatrix( _data, _covar, mean, (flags & ~(cv::COVAR_ROWS|cv::COVAR_COLS)) | cv::COVAR_ROWS, ctype );
if( (flags & CV_COVAR_USE_AVG) == 0 )
if( (flags & cv::COVAR_USE_AVG) == 0 )
{
mean = mean.reshape(1, size.height);
mean.copyTo(_mean);
@@ -781,14 +781,14 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
}
Mat data = _src.getMat(), mean;
CV_Assert( ((flags & CV_COVAR_ROWS) != 0) ^ ((flags & CV_COVAR_COLS) != 0) );
bool takeRows = (flags & CV_COVAR_ROWS) != 0;
CV_Assert( ((flags & cv::COVAR_ROWS) != 0) ^ ((flags & cv::COVAR_COLS) != 0) );
bool takeRows = (flags & cv::COVAR_ROWS) != 0;
int type = data.type();
int nsamples = takeRows ? data.rows : data.cols;
CV_Assert( nsamples > 0 );
Size size = takeRows ? Size(data.cols, 1) : Size(1, data.rows);
if( (flags & CV_COVAR_USE_AVG) != 0 )
if( (flags & cv::COVAR_USE_AVG) != 0 )
{
mean = _mean.getMat();
ctype = std::max(std::max(CV_MAT_DEPTH(ctype >= 0 ? ctype : type), mean.depth()), CV_32F);
@@ -808,8 +808,8 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
mean = _mean.getMat();
}
mulTransposed( data, _covar, ((flags & CV_COVAR_NORMAL) == 0) ^ takeRows,
mean, (flags & CV_COVAR_SCALE) != 0 ? 1./nsamples : 1, ctype );
mulTransposed( data, _covar, ((flags & cv::COVAR_NORMAL) == 0) ^ takeRows,
mean, (flags & cv::COVAR_SCALE) != 0 ? 1./nsamples : 1, ctype );
}
@@ -1171,7 +1171,7 @@ cvCalcCovarMatrix( const CvArr** vecarr, int count,
if( avgarr )
mean = mean0 = cv::cvarrToMat(avgarr);
if( (flags & CV_COVAR_COLS) != 0 || (flags & CV_COVAR_ROWS) != 0 )
if( (flags & cv::COVAR_COLS) != 0 || (flags & cv::COVAR_ROWS) != 0 )
{
cv::Mat data = cv::cvarrToMat(vecarr[0]);