Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

Backport some of C API removal in core module implementation.

Browse Source
pull/26460/head
Alexander Smorkalov 2 weeks ago
parent e1d66643b3
commit 1ff16cb551
2 changed files with 21 additions and 21 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 24
      modules/core/src/matmul.dispatch.cpp
  2. 18
      modules/core/src/matrix_expressions.cpp

24
modules/core/src/matmul.dispatch.cpp
Unescape View File

@ -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]);

18
modules/core/src/matrix_expressions.cpp
Unescape View File

@ -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);
}

Write Preview
Loading…
Cancel
Save