diff --git a/modules/core/src/matmul.dispatch.cpp b/modules/core/src/matmul.dispatch.cpp index 35b7ad54c4..c78fcc0b7a 100644 --- a/modules/core/src/matmul.dispatch.cpp +++ b/modules/core/src/matmul.dispatch.cpp @@ -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]); diff --git a/modules/core/src/matrix_expressions.cpp b/modules/core/src/matrix_expressions.cpp index dd39d50a01..86acab9d93 100644 --- a/modules/core/src/matrix_expressions.cpp +++ b/modules/core/src/matrix_expressions.cpp @@ -554,7 +554,7 @@ void MatOp::matmul(const MatExpr& e1, const MatExpr& e2, MatExpr& res) const if( isT(e1) ) { - flags = CV_GEMM_A_T; + flags = cv::GEMM_1_T; scale = e1.alpha; m1 = e1.a; } @@ -568,7 +568,7 @@ void MatOp::matmul(const MatExpr& e1, const MatExpr& e2, MatExpr& res) const if( isT(e2) ) { - flags |= CV_GEMM_B_T; + flags |= cv::GEMM_2_T; scale *= e2.alpha; m2 = e2.a; } @@ -1574,10 +1574,10 @@ void MatOp_GEMM::add(const MatExpr& e1, const MatExpr& e2, MatExpr& res) const double alpha1 = i1 ? 1 : e1.alpha, alpha2 = i2 ? 1 : e2.alpha; if( isMatProd(e1) && (i2 || isScaled(e2) || isT(e2)) ) - MatOp_GEMM::makeExpr(res, (e1.flags & ~CV_GEMM_C_T)|(isT(e2) ? CV_GEMM_C_T : 0), + MatOp_GEMM::makeExpr(res, (e1.flags & ~cv::GEMM_3_T)|(isT(e2) ? cv::GEMM_3_T : 0), e1.a, e1.b, alpha1, e2.a, alpha2); else if( isMatProd(e2) && (i1 || isScaled(e1) || isT(e1)) ) - MatOp_GEMM::makeExpr(res, (e2.flags & ~CV_GEMM_C_T)|(isT(e1) ? CV_GEMM_C_T : 0), + MatOp_GEMM::makeExpr(res, (e2.flags & ~cv::GEMM_3_T)|(isT(e1) ? cv::GEMM_3_T : 0), e2.a, e2.b, alpha2, e1.a, alpha1); else if( this == e2.op ) MatOp::add(e1, e2, res); @@ -1593,10 +1593,10 @@ void MatOp_GEMM::subtract(const MatExpr& e1, const MatExpr& e2, MatExpr& res) co double alpha1 = i1 ? 1 : e1.alpha, alpha2 = i2 ? 1 : e2.alpha; if( isMatProd(e1) && (i2 || isScaled(e2) || isT(e2)) ) - MatOp_GEMM::makeExpr(res, (e1.flags & ~CV_GEMM_C_T)|(isT(e2) ? CV_GEMM_C_T : 0), + MatOp_GEMM::makeExpr(res, (e1.flags & ~cv::GEMM_3_T)|(isT(e2) ? cv::GEMM_3_T : 0), e1.a, e1.b, alpha1, e2.a, -alpha2); else if( isMatProd(e2) && (i1 || isScaled(e1) || isT(e1)) ) - MatOp_GEMM::makeExpr(res, (e2.flags & ~CV_GEMM_C_T)|(isT(e1) ? CV_GEMM_C_T : 0), + MatOp_GEMM::makeExpr(res, (e2.flags & ~cv::GEMM_3_T)|(isT(e1) ? cv::GEMM_3_T : 0), e2.a, e2.b, -alpha2, e1.a, alpha1); else if( this == e2.op ) MatOp::subtract(e1, e2, res); @@ -1618,9 +1618,9 @@ void MatOp_GEMM::transpose(const MatExpr& e, MatExpr& res) const CV_INSTRUMENT_REGION(); res = e; - res.flags = (!(e.flags & CV_GEMM_A_T) ? CV_GEMM_B_T : 0) | - (!(e.flags & CV_GEMM_B_T) ? CV_GEMM_A_T : 0) | - (!(e.flags & CV_GEMM_C_T) ? CV_GEMM_C_T : 0); + res.flags = (!(e.flags & cv::GEMM_1_T) ? cv::GEMM_2_T : 0) | + (!(e.flags & cv::GEMM_2_T) ? cv::GEMM_1_T : 0) | + (!(e.flags & cv::GEMM_3_T) ? cv::GEMM_3_T : 0); swap(res.a, res.b); }