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HaarFaceDetector.java
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HaarFaceDetector.java
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package org.imesha.examples.javacv;
import org.bytedeco.javacv.Frame;
import org.bytedeco.javacv.OpenCVFrameConverter;
import org.bytedeco.opencv.opencv_core.CvMemStorage;
import org.bytedeco.opencv.opencv_core.Mat;
import org.bytedeco.opencv.opencv_core.Rect;
import org.bytedeco.opencv.opencv_core.RectVector;
import org.bytedeco.opencv.opencv_objdetect.CascadeClassifier;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.File;
import java.util.HashMap;
import java.util.Map;
import static org.bytedeco.opencv.global.opencv_core.cvReleaseMemStorage;
/**
* Face detector using haar classifier cascades
*
* @author Imesha Sudasingha
*/
public class HaarFaceDetector {
private static final Logger logger = LoggerFactory.getLogger(HaarFaceDetector.class);
//private CvHaarClassifierCascade haarClassifierCascade;
CascadeClassifier faceCascade;
private CvMemStorage storage;
private OpenCVFrameConverter.ToIplImage iplImageConverter;
private OpenCVFrameConverter.ToMat toMatConverter;
public HaarFaceDetector() {
iplImageConverter = new OpenCVFrameConverter.ToIplImage();
toMatConverter = new OpenCVFrameConverter.ToMat();
try {
File haarCascade = new File(this.getClass().getResource("/detection/haarcascade_frontalface_alt.xml").toURI());
logger.debug("Using Haar Cascade file located at : {}", haarCascade.getAbsolutePath());
//haarClassifierCascade = new CvHaarClassifierCascade(cvload(haarCascade.getAbsolutePath()));
faceCascade = new CascadeClassifier(haarCascade.getCanonicalPath());
} catch (Exception e) {
logger.error("Error when trying to get the haar cascade", e);
throw new IllegalStateException("Error when trying to get the haar cascade", e);
}
storage = CvMemStorage.create();
}
/**
* Detects and returns a map of cropped faces from a given captured frame
*
* @param frame the frame captured by the {@link org.bytedeco.javacv.FrameGrabber}
* @return A map of faces along with their coordinates in the frame
*/
public Map<Rect, Mat> detect(Frame frame) {
Map<Rect, Mat> detectedFaces = new HashMap<>();
/*
* return a CV Sequence (kind of a list) with coordinates of rectangle face area.
* (returns coordinates of left top corner & right bottom corner)
*/
//CvSeq detectObjects = cvHaarDetectObjects(iplImage, haarClassifierCascade, storage, 1.5, 3, CV_HAAR_DO_CANNY_PRUNING);
RectVector detectObjects = new RectVector();
Mat matImage = toMatConverter.convert(frame);
faceCascade.detectMultiScale(matImage, detectObjects);
long numberOfPeople = detectObjects.size();
for (int i = 0; i < numberOfPeople; i++) {
Rect rect = detectObjects.get(i);
Mat croppedMat = matImage.apply(new Rect(rect.x(), rect.y(), rect.width(), rect.height()));
detectedFaces.put(rect, croppedMat);
}
return detectedFaces;
}
@Override
public void finalize() {
cvReleaseMemStorage(storage);
}
}