void ImageGrabberThread()
{
while (!_isDone)
{
if (!_captured)
{
_capDev.ToImage(_image, 0, 0, Width, Height);
_captured = true;
_captureFPS.AddFrame();
//_capDev.Capture ();
List <Rect> faces = _faceDetector.DetectFaces();
//foreach (var f in faces) {
// Debug.Log ("Found face: " + f.position.ToString ());
//}
if (faces.Count > 0)
{
_face = faces [0];
int x = (int)(Mathf.Max(0, _face.x - Margin));
int y = (int)(Mathf.Max(0, _face.y - Margin));
int w = (int)(Mathf.Min(Width - x, _face.width + Margin * 2));
int h = (int)(Mathf.Min(Height - y, _face.height + Margin * 2));
FaceRect.Set(x, y, w, h);
_facePos.AddSample(new Vector3(x, y, w));
_capDev.ToImage(_faceImage, x, y, w, h);
_faceCaptured = true;
_faceDetected = true;
}
else
{
_faceDetected = false;
}
}
}
}
void _threadProcess()
{
if (!_inited)
{
_inited = true;
if (_config.EnableRecognizer)
{
_recognizer = new UnityOpenCVPersonRecognizerAPI(_config.trainingPath);
}
_detector = new UnityOpenCVFaceDetectorAPI(_config.cascadePath, _config.scaler, _config.minNeighbors, _config.minSize, _config.maxSize);
}
while (!_isDone)
{
_signalEvent.WaitOne();
_signalEvent.Reset();
if (_newImage)
{
_detecting = true;
try{
_detector.BindImage(_img);
_faces = _detector.DetectFaces();
TriggerFaceDetected(_detector.DetectedFaces);
Debug.Log("Face Detected : " + _faces.Count.ToString());
if (_recognizer != null)
{
_recognizedFaces.Clear();
for (int i = 0; i < _detector.DetectedFaces.Count; ++i)
{
_recognizer.BindImage(_img);
RecognizedFace f = new RecognizedFace();
f.ID = _recognizer.RecognizeFace(_detector.DetectedFaces[i], ref f.distance);
f.rect = _detector.DetectedFaces[i];
_recognizedFaces.Add(f);
//if(conf<60)
Debug.Log("Face Detected with label: " + f.ID.ToString() + " with distance:" + f.distance.ToString());
}
TriggerFaceRecognized(_recognizedFaces);
}
}catch (Exception) {
}
_detecting = false;
_newImage = false;
}
}
}