public void changeRecognizer(RecognizerType recognizerType) {
if (isRecognizerActive) {
changeRecognizerStatus();
recognizerManager.changeRecognizer(RecognizerFactory.getRecognizer(recognizerType));
changeRecognizerStatus();
} else {
recognizerManager.changeRecognizer(RecognizerFactory.getRecognizer(recognizerType));
}
}
public Mat detect(Mat capturedImage) {
List<DetectedElement> detectedElements;
// loops over all the activated detectors
for (ElementsDetector detector : detectors.values()) {
// gets the elements detected by this detector
detectedElements = detector.detectElements(capturedImage);
for (DetectedElement detectedElement : detectedElements) {
// gets the image transformed by the detector
capturedImage = detectedElement.getTransformedImage();
// if has to recognize a face
if (isRecognizerActive
&& detectedElement != null
&& detectedElement.getDetectedImageElement() != null) {
assert (detectors.size() == 1
&& detectors.containsKey(Constants.DEFAULT_FACE_CLASSIFIER));
// recognizes the face
RecognizedFace recognizedFace =
recognizerManager.recognizeFace(detectedElement.getDetectedImageElement());
String name;
if (recognizedFace == Constants.UNKNOWN_FACE) {
name = recognizedFace.getName();
} else {
int percentage =
(int)
(100
* (Constants.FACE_RECOGNITION_THRESHOLD - recognizedFace.getConfidence())
/ Constants.FACE_RECOGNITION_THRESHOLD);
name = recognizedFace.getName() + " [" + percentage + "%]";
}
// writes the name of the recognized person (sort of embossed)
Point position = detectedElement.getPosition();
position.y -= 11;
position.x -= 1;
Imgproc.putText(
capturedImage,
name,
position,
Core.FONT_HERSHEY_TRIPLEX,
Constants.RECOGNIZED_NAME_FONT_SIZE,
Constants.BLACK);
position.y += 1;
position.x += 1;
Imgproc.putText(
capturedImage,
name,
position,
Core.FONT_HERSHEY_TRIPLEX,
Constants.RECOGNIZED_NAME_FONT_SIZE,
colors[2]);
}
}
}
return capturedImage;
}
