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Remove more C code

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This commit is contained in:
Vincent Rabaud 2025-09-25 13:31:30 +02:00
parent 9282afa0c7
commit b88c3dff4f
4 changed files with 6 additions and 8 deletions
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6
modules/ml/src/ann_mlp.cpp
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@ -864,8 +864,8 @@ public:
TermCriteria termcrit;
termcrit.type = TermCriteria::COUNT + TermCriteria::EPS;
termcrit.maxCount = std::max((params.termCrit.type & CV_TERMCRIT_ITER ? params.termCrit.maxCount : MAX_ITER), 1);
termcrit.epsilon = std::max((params.termCrit.type & CV_TERMCRIT_EPS ? params.termCrit.epsilon : DEFAULT_EPSILON), DBL_EPSILON);
termcrit.maxCount = std::max((params.termCrit.type & TermCriteria::MAX_ITER ? params.termCrit.maxCount : MAX_ITER), 1);
termcrit.epsilon = std::max((params.termCrit.type & TermCriteria::EPS ? params.termCrit.epsilon : DEFAULT_EPSILON), DBL_EPSILON);
int iter = 0;
switch(params.trainMethod){
@ -901,7 +901,7 @@ public:
int count = inputs.rows;
int iter = -1, max_iter = termCrit.maxCount*count;
double epsilon = (termCrit.type & CV_TERMCRIT_EPS) ? termCrit.epsilon*count : 0;
double epsilon = (termCrit.type & TermCriteria::EPS) ? termCrit.epsilon*count : 0;
int l_count = layer_count();
int ivcount = layer_sizes[0];

2
modules/ml/src/em.cpp
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@ -446,7 +446,7 @@ public:
CV_Assert(!clusterSamples.empty());
calcCovarMatrix(clusterSamples, covs[clusterIndex], means.row(clusterIndex),
CV_COVAR_NORMAL + CV_COVAR_ROWS + CV_COVAR_USE_AVG + CV_COVAR_SCALE, CV_64FC1);
COVAR_NORMAL | COVAR_ROWS | COVAR_USE_AVG | COVAR_SCALE, CV_64FC1);
weights.at<double>(clusterIndex) = static_cast<double>(clusterSamples.rows)/static_cast<double>(nsamples);
}

1
modules/ml/src/precomp.hpp
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@ -43,7 +43,6 @@
#include "opencv2/core.hpp"
#include "opencv2/ml.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/utility.hpp"
#include "opencv2/core/private.hpp"

5
modules/ml/src/svm.cpp
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@ -128,7 +128,7 @@ struct SvmParams
C = 1;
nu = 0;
p = 0;
termCrit = TermCriteria( CV_TERMCRIT_ITER+CV_TERMCRIT_EPS, 1000, FLT_EPSILON );
termCrit = TermCriteria( TermCriteria::MAX_ITER|TermCriteria::EPS, 1000, FLT_EPSILON );
}
SvmParams( int _svmType, int _kernelType,
@ -412,8 +412,7 @@ ParamGrid SVM::getDefaultGrid( int param_id )
grid.logStep = 7; // total iterations = 3
}
else
cvError( cv::Error::StsBadArg, "SVM::getDefaultGrid", "Invalid type of parameter "
"(use one of SVM::C, SVM::GAMMA et al.)", __FILE__, __LINE__ );
CV_Error( cv::Error::StsBadArg, "Invalid type of parameter (use one of SVM::C, SVM::GAMMA et al.)");
return grid;
}