Open Source Computer Vision Library https://opencv.org/
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#ifndef __OPENCV_TEST_PRECOMP_HPP__
#define __OPENCV_TEST_PRECOMP_HPP__
#include "opencv2/ts.hpp"
#include "opencv2/ml.hpp"
#include "opencv2/core/core_c.h"
namespace opencv_test {
using namespace cv::ml;
#define CV_NBAYES "nbayes"
#define CV_KNEAREST "knearest"
#define CV_SVM "svm"
#define CV_EM "em"
#define CV_ANN "ann"
#define CV_DTREE "dtree"
#define CV_BOOST "boost"
#define CV_RTREES "rtrees"
#define CV_ERTREES "ertrees"
#define CV_SVMSGD "svmsgd"
enum { CV_TRAIN_ERROR=0, CV_TEST_ERROR=1 };
using cv::Ptr;
using cv::ml::StatModel;
using cv::ml::TrainData;
using cv::ml::NormalBayesClassifier;
using cv::ml::SVM;
using cv::ml::KNearest;
using cv::ml::ParamGrid;
using cv::ml::ANN_MLP;
using cv::ml::DTrees;
using cv::ml::Boost;
using cv::ml::RTrees;
using cv::ml::SVMSGD;
class CV_MLBaseTest : public cvtest::BaseTest
{
public:
CV_MLBaseTest( const char* _modelName );
virtual ~CV_MLBaseTest();
protected:
virtual int read_params( const cv::FileStorage& fs );
virtual void run( int startFrom );
virtual int prepare_test_case( int testCaseIdx );
virtual std::string& get_validation_filename();
virtual int run_test_case( int testCaseIdx ) = 0;
virtual int validate_test_results( int testCaseIdx ) = 0;
int train( int testCaseIdx );
float get_test_error( int testCaseIdx, std::vector<float> *resp = 0 );
void save( const char* filename );
void load( const char* filename );
Ptr<TrainData> data;
std::string modelName, validationFN;
std::vector<std::string> dataSetNames;
cv::FileStorage validationFS;
Ptr<StatModel> model;
std::map<int, int> cls_map;
int64 initSeed;
};
class CV_AMLTest : public CV_MLBaseTest
{
public:
CV_AMLTest( const char* _modelName );
virtual ~CV_AMLTest() {}
protected:
virtual int run_test_case( int testCaseIdx );
virtual int validate_test_results( int testCaseIdx );
};
class CV_SLMLTest : public CV_MLBaseTest
{
public:
CV_SLMLTest( const char* _modelName );
virtual ~CV_SLMLTest() {}
protected:
virtual int run_test_case( int testCaseIdx );
virtual int validate_test_results( int testCaseIdx );
std::vector<float> test_resps1, test_resps2; // predicted responses for test data
std::string fname1, fname2;
};
} // namespace
#endif