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ClassImgFieldsDetector2.java
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ClassImgFieldsDetector2.java
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package org.genericsystem.cv;
import org.opencv.core.Core;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import javafx.application.Platform;
import javafx.beans.value.ChangeListener;
import javafx.beans.value.ObservableValue;
import javafx.geometry.Insets;
import javafx.scene.control.Label;
import javafx.scene.control.Slider;
import javafx.scene.image.ImageView;
import javafx.scene.layout.GridPane;
public class ClassImgFieldsDetector2 extends AbstractApp {
static {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
private final static String classImgRepertory = "classes/passport-fr";
public static void main(String[] args) {
launch(args);
}
@Override
protected void fillGrid(GridPane mainGrid) {
Slider valueSlider = new Slider();
Slider blueSlider = new Slider();
Slider saturationSlider = new Slider();
valueSlider.setMin(0);
valueSlider.setMax(255);
valueSlider.setValue(86);
blueSlider.setMin(0);
blueSlider.setMax(255);
blueSlider.setValue(76);
saturationSlider.setMin(0);
saturationSlider.setMax(255);
saturationSlider.setValue(255);
ImgClass2 imgClass = ImgClass2.fromDirectory(null, classImgRepertory);
ObservableValue<Img> observableMean = imgClass.getObservableMean();
Img model = observableMean.getValue();
ObservableValue<Img> observableVariance = imgClass.getObservableVariance();
mainGrid.add(observableMean.getValue().getImageView(), 0, 0);
mainGrid.add(observableVariance.getValue().getImageView(), 0, 1);
imgClass.setPreprocessor(img -> img.eraseCorners(0.1).dilateBlacks(valueSlider.getValue(),
blueSlider.getValue(), saturationSlider.getValue(), new Size(15, 3)));
mainGrid.add(new AwareImageView(observableMean), 1, 0);
mainGrid.add(new AwareImageView(observableVariance), 1, 1);
mainGrid.add(new AwareZonageImageView(model, observableVariance), 1, 2);
GridPane sliders = new GridPane();
sliders.setPadding(new Insets(40, 40, 40, 40));
Label valueLabel = new Label("Value : " + valueSlider.getValue());
sliders.add(valueLabel, 0, 0);
sliders.add(valueSlider, 0, 1);
Label saturationLabel = new Label("Saturation : " + saturationSlider.getValue());
saturationLabel.setPadding(new Insets(20, 0, 0, 0));
sliders.add(saturationLabel, 0, 2);
sliders.add(saturationSlider, 0, 3);
Label blueLabel = new Label("Blue : " + blueSlider.getValue());
blueLabel.setPadding(new Insets(20, 0, 0, 0));
sliders.add(blueLabel, 0, 4);
sliders.add(blueSlider, 0, 5);
mainGrid.add(sliders, 0, 2);
valueSlider.valueChangingProperty().addListener(new ChangeListener<Boolean>() {
@Override
public void changed(ObservableValue<? extends Boolean> o, Boolean wasChanging, Boolean changing) {
if (!changing) {
imgClass.setPreprocessor((img) -> img.eraseCorners(0.1).dilateBlacks(valueSlider.getValue(),
blueSlider.getValue(), saturationSlider.getValue(), new Size(15, 3)));
valueLabel.setText("Value : " + ((Number) valueSlider.getValue()).intValue());
}
}
});
saturationSlider.valueChangingProperty().addListener(new ChangeListener<Boolean>() {
@Override
public void changed(ObservableValue<? extends Boolean> o, Boolean wasChanging, Boolean changing) {
if (!changing) {
imgClass.setPreprocessor((img) -> img.eraseCorners(0.1).dilateBlacks(valueSlider.getValue(),
blueSlider.getValue(), saturationSlider.getValue(), new Size(15, 3)));
saturationLabel.setText("Saturation : " + ((Number) saturationSlider.getValue()).intValue());
}
}
});
blueSlider.valueChangingProperty().addListener(new ChangeListener<Boolean>() {
@Override
public void changed(ObservableValue<? extends Boolean> o, Boolean wasChanging, Boolean changing) {
if (!changing) {
imgClass.setPreprocessor((img) -> img.eraseCorners(0.1).dilateBlacks(valueSlider.getValue(),
blueSlider.getValue(), saturationSlider.getValue(), new Size(15, 3)));
blueLabel.setText("Blue : " + ((Number) blueSlider.getValue()).intValue());
}
}
});
// for (File file : new File(classImgRepertory).listFiles())
// if (file.getName().endsWith(".png")) {
// System.out.println("file : " + file.getName());
// Img img = new Img(Imgcodecs.imread(file.getPath()));
// try {
// List<Mat> sameMats = Tools.getClassMats(classImgRepertory + "/mask/"
// + file.getName().replace(".png", ""));
// for (Zone zone : zones.get()) {
// zone.draw(img, new Scalar(0, 255, 0), -1);
// UnsupervisedZoneScorer scorer = zone.newUnsupervisedScorer(sameMats);
// zone.write(img, scorer.getBestText() + " " +
// Math.floor((scorer.getBestScore() * 10000)) / 100 + "%", 2.5, new
// Scalar(0, 0, 255), 2);
// }
// mainGrid.add(img.getImageView(), columnIndex, rowIndex++);
// } catch (Exception ignore) {
//
// }
// }
}
// Img img = Tools.classImgsStream(classImgRepertory).iterator().next();
// ImgZoner.drawZones(img.sobel(), img, 300, new Scalar(0, 255, 0), 3);
// mainGrid.add(img.getImageView(), columnIndex, rowIndex++);
//
// Img img2 = Tools.classImgsStream(classImgRepertory).iterator().next();
// ImgZoner.drawZones(img2.mser(), img2, 300, new Scalar(0, 255, 0), 3);
// mainGrid.add(img2.getImageView(), columnIndex, rowIndex++);
//
// Img img3 = Tools.classImgsStream(classImgRepertory).iterator().next();
// ImgZoner.drawZones(img3.grad(), img3, 300, new Scalar(0, 255, 0), 3);
// mainGrid.add(img3.getImageView(), columnIndex, rowIndex++);
private Img imageProcessing(Img img, int value, int blue, int saturation) {
return img.eraseCorners(0.1).dilateBlacks(value, blue, saturation, new Size(15, 3));
}
public static class AwareImageView extends ImageView {
public AwareImageView(ObservableValue<Img> observableImg) {
observableImg.addListener((o, ov, nv) -> {
Platform.runLater(new Runnable() {
@Override
public void run() {
setImage(observableImg.getValue().getImageView().getImage());
}
});
});
setImage(observableImg.getValue().getImageView().getImage());
}
}
public static class AwareZonageImageView extends ImageView {
private final Img mean;
public AwareZonageImageView(Img mean, ObservableValue<Img> observableImg) {
this.mean = new Img(mean.getSrc());
observableImg.addListener((o, ov, nv) -> {
Zones zones = Zones.get(nv.morphologyEx(Imgproc.MORPH_CLOSE,
new StructuringElement(Imgproc.MORPH_RECT, new Size(9, 10))), 300, 6, 6);
Img zonedMean = new Img(mean.getSrc());
zones.draw(zonedMean, new Scalar(0, 255, 0), 3);
Platform.runLater(new Runnable() {
@Override
public void run() {
setImage(zonedMean.getImageView().getImage());
}
});
});
setImage(mean.getImageView().getImage());
}
}
}