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Zones.java
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Zones.java
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package org.genericsystem.cv;
import java.io.File;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.stream.Collectors;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
public class Zones implements Iterable<Zone> {
private final List<Zone> zones;
private static final ObjectMapper mapper = new ObjectMapper();
private static Logger log = LoggerFactory.getLogger(Zones.class);
public static Zones get(Img img, double minArea) {
return new Zones(img.channels() == 1 ? img : img.bgr2Gray(), minArea);
}
public static Zones get(Img img, double minArea, int RETR) {
return new Zones(img.channels() == 1 ? img : img.bgr2Gray(), minArea, RETR);
}
public static Zones get(Img img, double minArea, double dx, double dy) {
return new Zones(img.channels() == 1 ? img : img.bgr2Gray(), minArea).adjust(dx, dy, img.width(), img.height());
}
private Zones adjust(double dx, double dy, int width, int height) {
return new Zones(zones.stream().map(zone -> zone.adjustRect(dx, dy, width, height)).collect(Collectors.toList()));
}
public Zones() {
zones = new ArrayList<>();
}
public Zones(List<Zone> zonesList) {
this.zones = zonesList;
}
public Zones(Img gray, double minArea) {
this(gray, minArea, Imgproc.RETR_EXTERNAL);
}
public Zones(Img gray, double minArea, int RETR) {
this.zones = new ArrayList<>();
List<MatOfPoint> contours = gray.findContours(new Img[1], RETR, Imgproc.CHAIN_APPROX_SIMPLE);
int num = 0;
for (int i = 0; i < contours.size(); i++) {
MatOfPoint contour = contours.get(i);
double contourarea = Imgproc.contourArea(contour);
if (contourarea > minArea) {
Rect rect = Imgproc.boundingRect(contour);
// if (rect.width >= rect.height) {
zones.add(new Zone(num, rect));
num++;
// }
}
}
}
public void draw(Img img, Scalar scalar, int thickness) {
zones.forEach(adjusted -> adjusted.draw(img, scalar, thickness));
}
public void writeNum(Img img, Scalar scalar, int thickness) {
zones.forEach(adjusted -> adjusted.write(img, String.valueOf(adjusted.getNum()), 3, scalar, thickness));
}
public List<Zone> getZones() {
return zones;
}
public void save(File file) {
file.getParentFile().mkdirs();
mapper.enable(SerializationFeature.INDENT_OUTPUT);
try {
mapper.writeValue(file, this);
System.out.println("Zones saved in " + file.getAbsolutePath());
} catch (IOException e) {
throw new RuntimeException(e);
}
}
public void save(String imgClassDirectory) {
this.save(new File(imgClassDirectory + "/zones/zones.json"));
}
public static Zones load(File file) {
try {
return mapper.readValue(file, Zones.class);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
public static Zones load(String imgClassDirectory) {
return load(new File(imgClassDirectory + "/zones/zones.json"));
}
// TODO: update the algorithm for de-zoning
public static Zones loadZones(String imgClassDirectory) {
ImgClass imgClass = ImgClass.fromDirectory(imgClassDirectory);
Zones zones = null;
try {
zones = load(imgClassDirectory);
} catch (RuntimeException e) {
log.warn("Could not load accurate zones!");
imgClass.addMapper(img -> img.eraseCorners(0.1).dilateBlacks(86, 255, 76, new Size(20, 3)));
zones = get(imgClass.getClosedVarianceZones(new Size(9, 10)), 300, 6, 6);
}
return zones;
}
public static boolean isZonesFilePresent(String imgClassDirectory) {
return new File(imgClassDirectory + "/zones/zones.json").exists();
}
@Override
public Iterator<Zone> iterator() {
return zones.iterator();
}
public int size() {
return zones.size();
}
}