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Fields.java
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Fields.java
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package org.genericsystem.cv.classifier;
import java.util.Arrays;
import java.util.HashSet;
import java.util.List;
import java.util.ListIterator;
import java.util.Set;
import java.util.concurrent.ThreadLocalRandom;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.genericsystem.cv.Img;
import org.genericsystem.cv.utils.ParallelTasks;
import org.genericsystem.cv.utils.RectToolsMapper;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.utils.Converters;
@SuppressWarnings({ "unchecked", "rawtypes" })
public class Fields extends AbstractFields {
private Mat perspectiveHomographyInv;
private Mat homographyFromStabilized;
private static ThreadLocalRandom rand = ThreadLocalRandom.current();
private static final int MAX_DELETE_UNMERGED = 2;
private static final int OCR_TIMEOUT = 100;
public void draw(Img stabilized) {
List<Field> oldFields = restabilizeFields();
fields.forEach(f -> f.draw(stabilized, new Scalar(0, 0, 255)));
oldFields.forEach(f -> f.draw(stabilized, new Scalar(0, 255, 0)));
if (homographyFromStabilized != null) {
ListIterator<Field> it = oldFields.listIterator();
while (it.hasNext()) {
Field currentOldField = it.next();
// List<Field> matches = (List) findMatchingFieldsWithConfidence(currentOldField, 0.7);
List<Field> matches = (List) findClusteredFields(currentOldField, 0.1);
matches.forEach(f -> f.draw(stabilized, new Scalar(255, 0, 0)));
}
}
}
public void merge(List<Rect> newRects) {
List<Field> oldFields = restabilizeFields();
System.out.println("oldFields transformed (" + oldFields.size() + ")");
fields = newRects.stream().map(Field::new).collect(Collectors.toList());
if (homographyFromStabilized != null) {
ListIterator<Field> it = oldFields.listIterator();
while (it.hasNext()) {
Field currentOldField = it.next();
// List<Field> matches = (List) findMatchingFieldsWithConfidence(currentOldField, 0.7);
List<Field> matches = (List) findClusteredFields(currentOldField, 0.1);
if (!matches.isEmpty()) {
currentOldField.getConsolidated().ifPresent(s -> System.out.println("Merged: " + s));
matches.forEach(f -> {
f.merge(currentOldField);
f.resetDeadCounter();
});
it.remove();
} else {
System.out.print(".");
}
}
// Increment the deadCounter in old fields that were not merged
oldFields.forEach(f -> f.incrementDeadCounter());
oldFields.removeIf(f -> f.deadCounter >= MAX_DELETE_UNMERGED);
// At this stage, add all the remaining fields still in oldFields
fields.addAll(oldFields);
}
}
@Override
protected Field getIntersection(AbstractField field1, AbstractField field2) {
Rect rect1 = field1.getRect();
Rect rect2 = field2.getRect();
Rect intersect = RectToolsMapper.getIntersection(rect1, rect2).orElseThrow(() -> new IllegalArgumentException("No intersecting rectangle was found"));
Field intersection = new Field(intersect);
Arrays.asList(field1, field2).forEach(f -> intersection.merge(f));
return intersection;
}
@Override
protected Field getUnion(AbstractField field1, AbstractField field2) {
Rect rect1 = field1.getRect();
Rect rect2 = field2.getRect();
Field union = new Field(RectToolsMapper.getUnion(rect1, rect2));
Arrays.asList(field1, field2).forEach(f -> union.merge(f));
return union;
}
private List<Field> restabilizeFields() {
// Apply the homography to the oldFields
List<Rect> virtualRects = fields.stream().map(AbstractField::getRect).map(rect -> findNewRect(rect)).collect(Collectors.toList());
return IntStream.range(0, fields.size()).mapToObj(i -> {
Field f = new Field(virtualRects.get(i));
f.merge(fields.get(i));
return f;
}).collect(Collectors.toList());
}
private Rect findNewRect(Rect rect) {
List<Point> points = restabilize(Arrays.asList(rect.tl(), rect.br()));
return new Rect(points.get(0), points.get(1));
}
private List<Point> restabilize(List<Point> originals) {
Mat original = Converters.vector_Point2f_to_Mat(originals);
MatOfPoint2f results = new MatOfPoint2f();
Mat fullHomography = new Mat();
Core.gemm(homographyFromStabilized, perspectiveHomographyInv, 1, new Mat(), 0, fullHomography);
Core.perspectiveTransform(original, results, fullHomography);
List<Point> res = results.toList();
return res;
}
public void storePerspectiveHomographyInv(Mat perspectiveHomographyInv) {
this.perspectiveHomographyInv = perspectiveHomographyInv;
}
public void storeHomographyFromStabilized(Mat homographyFromStabilized) {
this.homographyFromStabilized = homographyFromStabilized;
}
@Override
public void consolidateOcr(Img rootImg) {
long TS = System.currentTimeMillis();
while (System.currentTimeMillis() - TS <= OCR_TIMEOUT) {
ParallelTasks tasks = new ParallelTasks();
Set<Integer> indexes = new HashSet<>(tasks.getCounter());
while (indexes.size() < tasks.getCounter()) {
int idx = rand.nextInt(size());
if (indexes.add(idx))
tasks.add(() -> fields.get(idx).ocr(rootImg));
}
try {
tasks.run();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}