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trace: initial support for code trace

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This commit is contained in:
Alexander Alekhin
2017-05-25 18:59:01 +03:00
parent 07aff8e85f
commit 006966e629
58 changed files with 2963 additions and 185 deletions
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modules/ml/src/inner_functions.cpp
+6
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@@ -45,6 +45,7 @@ namespace cv { namespace ml {
ParamGrid::ParamGrid() { minVal = maxVal = 0.; logStep = 1; }
ParamGrid::ParamGrid(double _minVal, double _maxVal, double _logStep)
{
CV_TRACE_FUNCTION();
minVal = std::min(_minVal, _maxVal);
maxVal = std::max(_minVal, _maxVal);
logStep = std::max(_logStep, 1.);
@@ -60,17 +61,20 @@ int StatModel::getVarCount() const { return 0; }
bool StatModel::train( const Ptr<TrainData>&, int )
{
CV_TRACE_FUNCTION();
CV_Error(CV_StsNotImplemented, "");
return false;
}
bool StatModel::train( InputArray samples, int layout, InputArray responses )
{
CV_TRACE_FUNCTION();
return train(TrainData::create(samples, layout, responses));
}
float StatModel::calcError( const Ptr<TrainData>& data, bool testerr, OutputArray _resp ) const
{
CV_TRACE_FUNCTION_SKIP_NESTED();
Mat samples = data->getSamples();
int layout = data->getLayout();
Mat sidx = testerr ? data->getTestSampleIdx() : data->getTrainSampleIdx();
@@ -119,6 +123,7 @@ float StatModel::calcError( const Ptr<TrainData>& data, bool testerr, OutputArra
/* Calculates upper triangular matrix S, where A is a symmetrical matrix A=S'*S */
static void Cholesky( const Mat& A, Mat& S )
{
CV_TRACE_FUNCTION();
CV_Assert(A.type() == CV_32F);
S = A.clone();
@@ -133,6 +138,7 @@ static void Cholesky( const Mat& A, Mat& S )
average row vector, <cov> - symmetric covariation matrix */
void randMVNormal( InputArray _mean, InputArray _cov, int nsamples, OutputArray _samples )
{
CV_TRACE_FUNCTION();
// check mean vector and covariance matrix
Mat mean = _mean.getMat(), cov = _cov.getMat();
int dim = (int)mean.total(); // dimensionality