@Override
public void run() {
for (MBFImage image : this.stream) {
FImage gimage = Transforms.calculateIntensityNTSC(image);
// gimage.processInplace(this.thresholder);
gimage.threshold(0.7f);
displayFrame(gimage);
// trackInputs(image);
// handleInputs(image);
}
}
public static void extractImage(
String rootDir,
String scaledDir,
long subjectId,
long imageId,
String fileName,
int haarMinSize,
int scaledSize)
throws IOException {
FileInputStream input = new FileInputStream(fileName);
MBFImage image = ImageUtilities.readMBF(input);
BufferedImage detectedFacesImage = ImageIO.read(new File(fileName));
// ImageUtils.displayImage(detectedFacesImage);
FaceDetector<DetectedFace, FImage> fd = new HaarCascadeDetector(haarMinSize);
List<DetectedFace> faces = fd.detectFaces(Transforms.calculateIntensity(image));
System.out.println("# Found faces, one per line.");
System.out.println("# <x>, <y>, <width>, <height>");
Iterator<DetectedFace> iterator = faces.iterator();
BufferedImage extractFaceImage = null;
if (iterator.hasNext()) {
DetectedFace face = iterator.next();
Rectangle bounds = face.getBounds();
// extractFaceImage = detectedFacesImage.getSubimage((int)bounds.x, (int)bounds.y,
// (int)bounds.width, (int)bounds.height);
// writeImage(extractFaceImage, rootDir, "extracted", subjectId, imageId);
// BufferedImage scaledBufferedImage = scale(extractFaceImage, scaledSize);
// String scaledFileName = scaledDir + subjectId + "-" + imageId + ".jpg";
// System.out.println("scaledFileName = " + scaledFileName);
// ImageIO.write(scaledBufferedImage, "jpg", new File(scaledFileName));
Graphics g = detectedFacesImage.createGraphics();
g.setColor(Color.GREEN);
g.drawRect((int) bounds.x, (int) bounds.y, (int) bounds.width, (int) bounds.height);
System.out.println(bounds.x + ";" + bounds.y + ";" + bounds.width + ";" + bounds.height);
} else {
Graphics g = detectedFacesImage.createGraphics();
g.setColor(Color.GREEN);
g.drawString("No Image Detected", 20, 20);
}
writeImage(detectedFacesImage, rootDir, "detected", subjectId, imageId);
//
// FaceDetector < KEDetectedFace , FImage > fdK = new FKEFaceDetector () ;
// List < KEDetectedFace > facesK = fdK.detectFaces ( Transforms.calculateIntensity (
// image ) ) ;
// if (!facesK.isEmpty()) {
// System.out.println("Found face");
// KEDetectedFace detectedKeyFace = facesK.get(0);
// FacialKeypoint[] keypoints = detectedKeyFace.getKeypoints();
// for (FacialKeypoint keypoint: keypoints) {
// System.out.println("keypoint:" + keypoint);
// }
// }
}
/**
* {@inheritDoc}
*
* @see org.openimaj.video.VideoDisplayListener#beforeUpdate(org.openimaj.image.Image)
*/
@Override
public void beforeUpdate(MBFImage frame) {
if (edgeDetect) frame.processInplace(new CannyEdgeDetector2());
if (faceDetect) {
HaarCascadeDetector d = new HaarCascadeDetector(100);
List<DetectedFace> faces = d.detectFaces(Transforms.calculateIntensityNTSC(frame));
for (DetectedFace face : faces) {
Shape transBounds = face.getBounds();
MBFImageRenderer renderer = frame.createRenderer();
renderer.drawPolygon(transBounds.asPolygon(), RGBColour.RED);
}
}
if (faceKPDetect) {
System.out.println("HERE");
FKEFaceDetector fkp =
new FKEFaceDetector(HaarCascadeDetector.BuiltInCascade.frontalface_alt.load());
List<KEDetectedFace> faces = fkp.detectFaces(Transforms.calculateIntensityNTSC(frame));
for (KEDetectedFace face : faces) {
Shape transBounds = face.getBounds();
MBFImageRenderer renderer = frame.createRenderer();
renderer.drawPolygon(transBounds.asPolygon(), RGBColour.RED);
for (FacialKeypoint kp : face.getKeypoints()) {
Point2d pt = kp.position.clone();
pt.translate((float) transBounds.minX(), (float) transBounds.minY());
renderer.drawPoint(pt, RGBColour.GREEN, 3);
}
}
}
if (moustache)
try {
frame.internalAssign(new Mustache().addMustaches(frame));
} catch (IOException e) {
e.printStackTrace();
}
}
