algorithms-for-computing-li.../LinearRegressionTool/src/main/java/App.java

125 lines
4.3 KiB
Java

import com.sun.java.swing.plaf.windows.WindowsLookAndFeel;
import model.Line;
import model.LineModel;
import nu.pattern.OpenCV;
import org.apache.commons.io.IOUtils;
import presenter.Presenter;
import presenter.algorithms.advanced.RepeatedMedianEstimator;
import presenter.generator.DatasetGenerator;
import view.MainFrame;
import javax.swing.*;
import java.awt.*;
import java.io.File;
import java.io.FileOutputStream;
import java.io.InputStream;
import java.io.OutputStream;
import java.util.LinkedList;
import static nu.pattern.OpenCV.loadShared;
/**
* Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.
*
* @Author: Armin Wolf
* @Email: a_wolf28@uni-muenster.de
* @Date: 28.05.2017.
*/
public class App {
private static void setUIFont(javax.swing.plaf.FontUIResource f) {
java.util.Enumeration<Object> keys = UIManager.getDefaults().keys();
while (keys.hasMoreElements()) {
Object key = keys.nextElement();
Object value = UIManager.get(key);
if (value instanceof javax.swing.plaf.FontUIResource) {
UIManager.put(key, f);
}
}
}
private static void setLookAndFeel(JFrame view) {
String[] laf = {"com.jtattoo.plaf.aluminium.AluminiumLookAndFeel",
"com.jtattoo.plaf.acryl.AcrylLookAndFeel",
"com.jtattoo.plaf.aero.AeroLookAndFeel",
"com.jtattoo.plaf.fast.FastLookAndFeel",
"com.jtattoo.plaf.graphite.GraphiteLookAndFeel",
"com.jtattoo.plaf.luna.LunaLookAndFeel",
"com.jtattoo.plaf.noire.NoireLookAndFeel"};
try {
UIManager.setLookAndFeel(laf[4]);
} catch (ClassNotFoundException e) {
e.printStackTrace();
} catch (InstantiationException e) {
e.printStackTrace();
} catch (IllegalAccessException e) {
e.printStackTrace();
} catch (UnsupportedLookAndFeelException e) {
e.printStackTrace();
}
SwingUtilities.updateComponentTreeUI(view);
}
static {
nu.pattern.OpenCV.loadShared();
System.loadLibrary(org.opencv.core.Core.NATIVE_LIBRARY_NAME);
}
public static void main(String[] args) {
final String[] options = {"Normal", "Benchmark"};
String chosen = (String) JOptionPane.showInputDialog(null,
"Bitte wählen Sie eine Ansicht!",
"Ausführungsoptionen",
JOptionPane.QUESTION_MESSAGE,
null,
options,
options[0]);
if (chosen == "Normal"){
final Presenter presenter = new Presenter(new LineModel(), null);
SwingUtilities.invokeLater(() -> {
//JFrame.setDefaultLookAndFeelDecorated(true);
MainFrame view = new MainFrame();
setLookAndFeel(view);
setUIFont(new javax.swing.plaf.FontUIResource(new Font("Verdana", Font.PLAIN, 12)));
view.setPresenter(presenter);
view.setActionListeners();
presenter.setView(view);
});} else {
benchmark();
}
}
public static void benchmark() {
int[] sizes = {50, 500, 1000, 3000, 5000, 10000};
for (int i = 5; i < sizes.length; i++) {
System.out.println("---- Datasetgröße: " + sizes[i] + " ----");
DatasetGenerator generator = new DatasetGenerator();
LinkedList<Line> lines = generator.generateDataCloud(sizes[i]);
// IntersectionComputer computer = new IntersectionComputer(lines);
// ArrayList<Point> points = computer.compute();
//algorithms
//NaivLeastMedianOfSquaresEstimator naivLms = new NaivLeastMedianOfSquaresEstimator(lines);
//naivLms.run();
// NaivRepeatedMedianEstimator naivRm = new NaivRepeatedMedianEstimator(lines);
// naivRm.run();
//
// NaivTheilSenEstimator naivTs = new NaivTheilSenEstimator(lines);
// naivTs.run();
// LeastMedianOfSquaresEstimator lms = new LeastMedianOfSquaresEstimator(lines,points);
// lms.run();
RepeatedMedianEstimator rm = new RepeatedMedianEstimator(lines);
rm.run();
// TheilSenEstimator ts = new TheilSenEstimator(lines,points);
// ts.run();
}
}
}