@@ -696,7 +696,7 @@ void calcCovarMatrix( const Mat* data, int nsamples, Mat& covar, Mat& _mean, int
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Mat mean;
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ctype = std::max (std::max (CV_MAT_DEPTH (ctype >= 0 ? ctype : type), _mean.depth ()), CV_32F);
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- if ( (flags & CV_COVAR_USE_AVG ) != 0 )
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+ if ( (flags & cv::COVAR_USE_AVG ) != 0 )
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{
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CV_Assert ( _mean.size () == size );
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if ( _mean.isContinuous () && _mean.type () == ctype )
@@ -722,8 +722,8 @@ void calcCovarMatrix( const Mat* data, int nsamples, Mat& covar, Mat& _mean, int
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}
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}
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- calcCovarMatrix ( _data, covar, mean, (flags & ~(CV_COVAR_ROWS|CV_COVAR_COLS )) | CV_COVAR_ROWS , ctype );
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- if ( (flags & CV_COVAR_USE_AVG ) == 0 )
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+ calcCovarMatrix ( _data, covar, mean, (flags & ~(cv::COVAR_ROWS|cv::COVAR_COLS )) | cv::COVAR_ROWS , ctype );
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+ if ( (flags & cv::COVAR_USE_AVG ) == 0 )
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_mean = mean.reshape (1 , size.height );
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}
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@@ -754,7 +754,7 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
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}
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Mat mean;
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- if ( (flags & CV_COVAR_USE_AVG ) != 0 )
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+ if ( (flags & cv::COVAR_USE_AVG ) != 0 )
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{
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CV_Assert ( _mean.size () == size );
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@@ -770,9 +770,9 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
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mean = _mean.getMat ().reshape (1 , 1 );
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}
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- calcCovarMatrix ( _data, _covar, mean, (flags & ~(CV_COVAR_ROWS|CV_COVAR_COLS )) | CV_COVAR_ROWS , ctype );
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+ calcCovarMatrix ( _data, _covar, mean, (flags & ~(cv::COVAR_ROWS|cv::COVAR_COLS )) | cv::COVAR_ROWS , ctype );
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- if ( (flags & CV_COVAR_USE_AVG ) == 0 )
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+ if ( (flags & cv::COVAR_USE_AVG ) == 0 )
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{
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mean = mean.reshape (1 , size.height );
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mean.copyTo (_mean);
@@ -781,14 +781,14 @@ void calcCovarMatrix( InputArray _src, OutputArray _covar, InputOutputArray _mea
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}
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Mat data = _src.getMat (), mean;
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- CV_Assert ( ((flags & CV_COVAR_ROWS ) != 0 ) ^ ((flags & CV_COVAR_COLS ) != 0 ) );
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- bool takeRows = (flags & CV_COVAR_ROWS ) != 0 ;
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+ CV_Assert ( ((flags & cv::COVAR_ROWS ) != 0 ) ^ ((flags & cv::COVAR_COLS ) != 0 ) );
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+ bool takeRows = (flags & cv::COVAR_ROWS ) != 0 ;
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int type = data.type ();
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int nsamples = takeRows ? data.rows : data.cols ;
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CV_Assert ( nsamples > 0 );
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Size size = takeRows ? Size (data.cols , 1 ) : Size (1 , data.rows );
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- if ( (flags & CV_COVAR_USE_AVG ) != 0 )
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+ if ( (flags & cv::COVAR_USE_AVG ) != 0 )
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{
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mean = _mean.getMat ();
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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
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mean = _mean.getMat ();
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}
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- mulTransposed ( data, _covar, ((flags & CV_COVAR_NORMAL ) == 0 ) ^ takeRows,
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- mean, (flags & CV_COVAR_SCALE ) != 0 ? 1 ./nsamples : 1 , ctype );
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+ mulTransposed ( data, _covar, ((flags & cv::COVAR_NORMAL ) == 0 ) ^ takeRows,
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+ mean, (flags & cv::COVAR_SCALE ) != 0 ? 1 ./nsamples : 1 , ctype );
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}
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@@ -1171,7 +1171,7 @@ cvCalcCovarMatrix( const CvArr** vecarr, int count,
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if ( avgarr )
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mean = mean0 = cv::cvarrToMat (avgarr);
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- if ( (flags & CV_COVAR_COLS ) != 0 || (flags & CV_COVAR_ROWS ) != 0 )
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+ if ( (flags & cv::COVAR_COLS ) != 0 || (flags & cv::COVAR_ROWS ) != 0 )
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{
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cv::Mat data = cv::cvarrToMat (vecarr[0 ]);
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