Test/linux-devkit/sysroots/armv7ahf-neon-linux-gnueabi/usr/include/opencv2/face/predict_collector.hpp

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#ifndef __OPENCV_PREDICT_COLLECTOR_HPP__
#define __OPENCV_PREDICT_COLLECTOR_HPP__
#include <cfloat>
#include "opencv2/core/cvdef.h"
#include "opencv2/core/cvstd.hpp"
namespace cv {
namespace face {
//! @addtogroup face
//! @{
/** @brief Abstract base class for all strategies of prediction result handling
*/
class CV_EXPORTS_W PredictCollector {
protected:
    double _threshhold;
    int _size;
    int _state;
public:
    /** @brief creates new predict collector with given threshhold */
    PredictCollector(double threshhold = DBL_MAX) :_threshhold(threshhold) {};
    CV_WRAP virtual ~PredictCollector() {}
    /** @brief called once at start of recognition
    @param size total size of prediction evaluation that recognizer could perform
    @param state user defined send-to-back optional value to allow multi-thread, multi-session or aggregation scenarios
    */
    CV_WRAP virtual void init(const int size, const int state = 0);
    /** @brief called with every recognition result
    @param label current prediction label
    @param dist current prediction distance (confidence)
    @param state user defined send-to-back optional value to allow multi-thread, multi-session or aggregation scenarios
    @return true if recognizer should proceed prediction , false - if recognizer should terminate prediction
    */
    CV_WRAP virtual bool emit(const int label, const double dist, const int state = 0); //not abstract while Python generation require non-abstract class
};

/** @brief default predict collector that trace minimal distance with treshhold checking (that is default behavior for most predict logic)
*/
class CV_EXPORTS_W MinDistancePredictCollector : public PredictCollector {
private:
    int _label;
    double _dist;
public:
    /** @brief creates new MinDistancePredictCollector with given threshhold */
    CV_WRAP MinDistancePredictCollector(double threshhold = DBL_MAX) : PredictCollector(threshhold) {
        _label = 0;
        _dist = DBL_MAX;
    };
    CV_WRAP bool emit(const int label, const double dist, const int state = 0);
    /** @brief result label, 0 if not found */
    CV_WRAP int getLabel() const;
    /** @brief result distance (confidence) DBL_MAX if not found */
    CV_WRAP double getDist() const;
    /** @brief factory method to create cv-pointers to MinDistancePredictCollector */
    CV_WRAP static Ptr<MinDistancePredictCollector> create(double threshold = DBL_MAX);
};
//! @}
}
}
#endif