Example usage for org.opencv.ml KNearest create

Introduction

In this page you can find the example usage for org.opencv.ml KNearest create.

Prototype

public static KNearest create() 

Source Link

Usage

From source file:ch.zhaw.facerecognitionlibrary.Recognition.KNearestNeighbor.java

License:Open Source License

@Override
public void loadFromFile() {
    MatName mtrainingList = new MatName("TrainingList", trainingList);

    List<MatName> listMat = new ArrayList<MatName>();
    listMat.add(mtrainingList);//w  w w  .j a  v a 2  s. c  o m

    labelList = fh.loadIntegerList(fh.createLabelFile(fh.KNN_PATH, "train"));
    labelMap = fh.getLabelMapFromFile(fh.KNN_PATH);
    trainingList = fh.getMatListFromXml(listMat, fh.KNN_PATH, trainingFile).get(0).getMat();

    labels = new Mat(labelList.size(), 1, CvType.CV_8UC1);
    for (int i = 0; i < labelList.size(); i++) {
        Integer label = labelList.get(i);
        // Fill shorter labels with 0s
        labels.put(i, 0, label);
    }

    labels.convertTo(labels, CvType.CV_32F);
    SharedPreferences sharedPref = PreferenceManager
            .getDefaultSharedPreferences((context.getApplicationContext()));
    k = Integer.valueOf(sharedPref.getString("key_K", "20"));

    knn = KNearest.create();
    knn.setIsClassifier(true);
    knn.train(trainingList, 0, labels);

}

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From source file:qupath.opencv.classify.KNearestClassifier.java

License:Open Source License

@Override
protected KNearest createClassifier() {
    KNearest classifier = KNearest.create();
    //      System.out.println("Default K: " + classifier.getDefaultK());
    ParameterList params = getParameterList();
    if (params != null) {
        classifier.setIsClassifier(true);
        classifier.setDefaultK(params.getIntParameterValue("k"));
    }//from www  .j  av  a 2  s  .co  m
    return classifier;
}

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