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ImgFiltersVisualComparator.java
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ImgFiltersVisualComparator.java
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package org.genericsystem.cv.comparator;
import java.io.File;
import java.util.stream.Stream;
import org.genericsystem.cv.AbstractApp;
import org.genericsystem.cv.Img;
import org.genericsystem.cv.ImgClass;
import org.genericsystem.cv.Tools;
import org.genericsystem.cv.Zone;
import org.genericsystem.cv.ZoneScorer;
import org.genericsystem.cv.Zones;
import org.opencv.core.Core;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgcodecs.Imgcodecs;
import javafx.scene.layout.GridPane;
public class ImgFiltersVisualComparator extends AbstractApp {
static {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
private final static String imgClassDirectory = "classes/id-fr-front";
public static void main(String[] args) {
launch(args);
}
@Override
protected void fillGrid(GridPane mainGrid) {
int columnIndex = 0;
int rowIndex = 0;
ImgClass imgClass = ImgClass.fromDirectory(imgClassDirectory);
// mainGrid.add(imgClass.getMean().getImageView(), columnIndex, rowIndex++);
// mainGrid.add(imgClass.getVariance().getImageView(), columnIndex, rowIndex++);
//
// mainGrid.add(imgClass.getMean().getImageView(), columnIndex, rowIndex++);
// mainGrid.add(imgClass.getVariance().getImageView(), columnIndex, rowIndex++);
// Img img1 = Tools.firstImg(imgClassDirectory);
// mainGrid.add(img1.otsu().getImageView(), columnIndex, rowIndex++);
//
// Img img11 = Tools.firstImg(imgClassDirectory);
// mainGrid.add(img11.otsuAfterGaussianBlur(new Size(5, 5)).getImageView(), columnIndex, rowIndex++);
Img img2 = Tools.firstImg(imgClassDirectory);
mainGrid.add(img2.niblackThreshold(15, 0).getImageView(), columnIndex, rowIndex++);
Img img3 = Tools.firstImg(imgClassDirectory);
mainGrid.add(img3.niblackThreshold(15, -1).getImageView(), columnIndex, rowIndex++);
Img img31 = Tools.firstImg(imgClassDirectory);
mainGrid.add(img31.niblackThreshold(15, -0.75).getImageView(), columnIndex, rowIndex++);
Img img32 = Tools.firstImg(imgClassDirectory);
mainGrid.add(img32.niblackThreshold(15, -0.5).getImageView(), columnIndex, rowIndex++);
// Zones zones;
// try {
// zones = Zones.load(imgClassDirectory);
// } catch (RuntimeException e) {
// System.out.println("could not load accurate zones");
// imgClass.addMapper(img -> img.eraseCorners(0.1).dilateBlacks(86, 255, 76, new Size(20, 3)));
// zones = Zones.get(imgClass.getClosedVarianceZones(new Size(9, 10)), 300, 6, 6);
// }
// Img model = imgClass.getMean();
// zones.draw(model, new Scalar(0, 255, 0), 3);
// mainGrid.add(model.getImageView(), columnIndex, rowIndex++);
// int i = 0;
// for (File file : new File(imgClassDirectory).listFiles())
// if (file.getName().endsWith(".png")) {
// System.out.println("File : " + file.getName());
// if (i++ > 3)
// continue;
// Img img = new Img(Imgcodecs.imread(file.getPath()));
// for (Zone zone : zones) {
// System.out.println("Zone n°" + zone.getNum());
// zone.draw(img, new Scalar(0, 255, 0), -1);
// ZoneScorer scorer = zone.newUnsupervisedScorer(Stream.concat(
// Tools.classImgsStream(imgClassDirectory, file.getName()),
// Tools.classImgsStream(imgClassDirectory + "/mask/" + file.getName().replace(".png", ""))));
// // // zone.write(img,
// // // scorer.getBestText() + " " +
// // // Math.floor((scorer.getBestScore() * 10000)) / 100 +
// // "%",
// // // 2.5,
// // // new Scalar(0, 0, 255), 2);
// zone.write(img, scorer.getBestText2(), 2.5, new Scalar(0, 0, 255), 2);
// System.out.println("Best text : " + scorer.getBestText2());
// }
// mainGrid.add(img.getImageView(), columnIndex, rowIndex++);
// }
}
}