predict_collector.cpp

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*/
#include "opencv2/face/predict_collector.hpp"

namespace cv {namespace face {

static std::pair<int, double> toPair(const StandardCollector::PredictResult & val) {
    return std::make_pair(val.label, val.distance);
}

static bool pairLess(const std::pair<int, double> & lhs, const std::pair<int, double> & rhs) {
    return lhs.second < rhs.second;
}

//===================================

StandardCollector::StandardCollector(double threshold_) : threshold(threshold_) {
    init(0);
}

void StandardCollector::init(size_t size) {
    minRes = PredictResult();
    data.clear();
    data.reserve(size);
}

bool StandardCollector::collect(int label, double dist) {
    if (dist < threshold)
    {
        PredictResult res(label, dist);
        if (res.distance < minRes.distance)
            minRes = res;
        data.push_back(res);
    }
    return true;
}

int StandardCollector::getMinLabel() const {
    return minRes.label;
}

double StandardCollector::getMinDist() const {
    return minRes.distance;
}

std::vector< std::pair<int, double> > StandardCollector::getResults(bool sorted) const {
    std::vector< std::pair<int, double> > res(data.size());
    std::transform(data.begin(), data.end(), res.begin(), &toPair);
    if (sorted)
    {
        std::sort(res.begin(), res.end(), &pairLess);
    }
    return res;
}

std::map<int, double> StandardCollector::getResultsMap() const {
    std::map<int, double> res;
    for (std::vector<PredictResult>::const_iterator i = data.begin(); i != data.end(); ++i) {
        std::map<int, double>::iterator j = res.find(i->label);
        if (j == res.end()) {
            res.insert(toPair(*i));
        } else if (i->distance < j->second) {
            j->second = i->distance;
        }
    }
    return res;
}

Ptr<StandardCollector> StandardCollector::create(double threshold) {
    return makePtr<StandardCollector>(threshold);
}

}} // cv::face::