Java MetricsUtils类代码示例

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature vd) {
    // Check if instance of the right class ...
    if (!(vd instanceof SimpleColorHistogram))
        throw new UnsupportedOperationException("Wrong descriptor.");

    // casting ...
    SimpleColorHistogram ch = (SimpleColorHistogram) vd;

    // check if parameters are fitting ...
    if ((ch.histogram.length != histogram.length) || (ch.histogramType != histogramType))
        throw new UnsupportedOperationException("Histogram lengths or color spaces do not match");

    // do the comparison ...
    double sum = 0;
    if (distFunc == DistanceFunction.JSD)
        return (float) MetricsUtils.jsd(histogram, ch.histogram);
    else if (distFunc == DistanceFunction.TANIMOTO)
        return (float) MetricsUtils.tanimoto(histogram, ch.histogram);
    else if (distFunc == DistanceFunction.L1)
        return (float) MetricsUtils.distL1(histogram, ch.histogram);
    else
        return (float) MetricsUtils.distL2(histogram, ch.histogram);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
@Override
    public float getDistance(LireFeature feature) {
        double k1 = 1.2, b = 0.75;
        double[] hist1 = new double[hist.length], hist2 = new double[hist.length];
        System.arraycopy(hist, 0, hist1, 0, hist.length);
        System.arraycopy(((SimpleFeature) feature).hist, 0, hist2, 0, hist.length);
        // weighting ...
//        double d1=0d, d2=0d;
//        for (int i = 0; i < hist1.length; i++)
//            d1 += hist1[i];
//        for (int i = 0; i < hist2.length; i++)
//            d2 += hist2[i];
        for (int i = 0; i < hist1.length; i++) {
//            hist1[i] = (hist1[i]*(k1+1.0))/(hist1[i] + k1*(1-b+b*d1/TestNister.avgDocLength)) * Math.log((10200-TestNister.df[i]+0.5)/(TestNister.df[i]+0.5));
//            hist2[i] = (hist2[i]*(k1+1.0))/(hist2[i] + k1*(1-b+b*d1/TestNister.avgDocLength)) * Math.log((10200-TestNister.df[i]+0.5)/(TestNister.df[i]+0.5));
            if (hist1[i] > 0) hist1[i] = 1 + Math.log(hist1[i]);
            if (hist2[i] > 0) hist2[i] = 1 + Math.log(hist2[i]);
        }
//        double dist = (1f - MetricsUtils.cosineCoefficient(hist1, hist2));
//        if (dist<0) {
//            System.out.println(dist);
//            dist = 0;
//        }
        return (float) MetricsUtils.distL2(hist1, hist2);
    }
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public double calculateStress(List<double[]> features) {
    double result = 0d;
    for (Iterator<Integer> iterator = members.iterator(); iterator.hasNext(); ) {
        int member = iterator.next();
        double[] feature = features.get(member);
        result += MetricsUtils.distL2(center, feature);
    }
    return result;
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
        // chi^2 distance ... as mentioned in the paper.
//        double distance = 0;
//        double lower;
//        for (int i = 0; i < histogram.length; i++) {
//            lower = histogram[i] + ((BinaryPatternsPyramid) feature).histogram[i];
//            if (lower > 0)
//                distance += (histogram[i] - ((BinaryPatternsPyramid) feature).histogram[i]) * (histogram[i] - ((BinaryPatternsPyramid) feature).histogram[i]) / lower;
//        }
//        return (float) distance;
        return (float) MetricsUtils.distL1(histogram, ((BinaryPatternsPyramid) feature).histogram);
    }
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
        // chi^2 distance ... as mentioned in the paper.
//        double distance = 0;
//        double lower;
//        for (int i = 0; i < histogram.length; i++) {
//            lower = histogram[i] + ((PHOG) feature).histogram[i];
//            if (lower > 0)
//                distance += (histogram[i] - ((PHOG) feature).histogram[i]) * (histogram[i] - ((PHOG) feature).histogram[i]) / lower;
//        }
//        return (float) distance;
        return (float) MetricsUtils.distL1(histogram, ((PHOG) feature).histogram);
    }
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public double getDistance(double[] feature) {
    return MetricsUtils.distL2(center, feature);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
    if (!(feature instanceof RankAndOpponent))
        throw new UnsupportedOperationException("Wrong descriptor.");
    return MetricsUtils.jsd(((RankAndOpponent) feature).descriptor, descriptor);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
@Override
public float getDistance(LireFeature feature) {
    return (float) MetricsUtils.tanimoto(histogram, feature.getDoubleHistogram());
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
    if (!(feature instanceof JointHistogram))
        throw new UnsupportedOperationException("Wrong descriptor.");
    return MetricsUtils.jsd(((JointHistogram) feature).descriptor, descriptor);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
    if (!(feature instanceof MSERFeature)) return -1;
    return (float) MetricsUtils.distL2(descriptor, ((MSERFeature) feature).descriptor);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
@Override
public float getDistance(LireFeature feature) {
    // it is assumed that the histograms are of equal length.
    assert(feature.getDoubleHistogram().length == data.length);
    return (float) MetricsUtils.distL1(feature.getDoubleHistogram(), data);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
    if (!(feature instanceof SurfFeature)) return -1;
    return (float) MetricsUtils.distL2(descriptor, ((SurfFeature) feature).descriptor);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
    if (!(feature instanceof OpponentHistogram))
        throw new UnsupportedOperationException("Wrong descriptor.");
    return (float) MetricsUtils.jsd(((OpponentHistogram) feature).histogram, histogram);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float getDistance(LireFeature feature) {
    if (!(feature instanceof FuzzyOpponentHistogram))
        throw new UnsupportedOperationException("Wrong descriptor.");
    return (float) MetricsUtils.jsd(((FuzzyOpponentHistogram) feature).descriptor, descriptor);
}
 

import net.semanticmetadata.lire.utils.MetricsUtils; //导入依赖的package包/类
public float descriptorDistance(Feature f) {
    if (!(f instanceof Feature)) return -1;
    return (float) MetricsUtils.distL2(descriptor, ((Feature) f).descriptor);
}