public void Initialize(Detector detector, int discrete)
{
WindowsNativePlatform.detector = detector;
//load our lib!
String adP = Application.streamingAssetsPath;
String affdexDataPath = Path.Combine(adP, "affdex-data"); // Application.streamingAssetsPath + "/affdex-data";
//String affdexDataPath = Application.dataPath + "/affdex-data";
affdexDataPath = affdexDataPath.Replace('/', '\\');
int status = initialize(discrete, affdexDataPath);
Debug.Log("Initialized detector: " + status);
FaceResults faceFound = new FaceResults(this.onFaceFound);
FaceResults faceLost = new FaceResults(this.onFaceLost);
ImageResults imageResults = new ImageResults(this.onImageResults);
h1 = GCHandle.Alloc(faceFound, GCHandleType.Pinned);
h2 = GCHandle.Alloc(faceLost, GCHandleType.Pinned);
h3 = GCHandle.Alloc(imageResults, GCHandleType.Pinned);
status = registerListeners(imageResults, faceFound, faceLost);
Debug.Log("Registered listeners: " + status);
}
public Analyzer(string dataFolder = @".\data", int maxRecognizedFaces = 100, FaceDetectorMode faceDetectionMode = FaceDetectorMode.SMALL_FACES)
{
this.DataFolder = dataFolder;
this.MaxRecognizedFaces = maxRecognizedFaces;
this.FaceDetectionMode = faceDetectionMode;
detector =
new Affdex.PhotoDetector((uint)MaxRecognizedFaces, (Affdex.FaceDetectorMode)FaceDetectionMode);
if (detector != null)
{
// ProcessVideo videoForm = new ProcessVideo(detector);
detector.setClassifierPath(DataFolder);
detector.setDetectAllEmotions(true);
detector.setDetectAllExpressions(true);
detector.setDetectAllEmojis(true);
detector.setDetectAllAppearances(true);
detector.start();
System.Console.WriteLine("Face detector mode = " + detector.getFaceDetectorMode().ToString());
//if (isVideo) ((Affdex.VideoDetector)detector).process(options.Input);
//else if (isImage)
detector.setImageListener(this);
detector.setProcessStatusListener(this);
//videoForm.ShowDialog();
}
}
public ProcessVideo(Affdex.Detector detector)
{
System.Console.WriteLine("Starting Interface...");
this.detector = detector;
detector.setImageListener(this);
detector.setProcessStatusListener(this);
InitializeComponent();
rwLock = new ReaderWriterLock();
this.DoubleBuffered = true;
this.FormBorderStyle = FormBorderStyle.FixedSingle;
SetStyle(ControlStyles.AllPaintingInWmPaint | ControlStyles.UserPaint | ControlStyles.OptimizedDoubleBuffer | ControlStyles.ResizeRedraw, true);
}
/// <summary>
/// Starts the camera processing.
/// </summary>
private void StartCameraProcessing()
{
try
{
// Instantiate CameraDetector using default camera ID
const int cameraId = 0;
const int numberOfFaces = 10;
const int cameraFPS = 15;
const int processFPS = 15;
Detector = new Affdex.CameraDetector(cameraId, cameraFPS, processFPS, numberOfFaces, Affdex.FaceDetectorMode.LARGE_FACES);
//Set location of the classifier data files, needed by the SDK
Detector.setClassifierPath("C:\\Program Files\\Affectiva\\AffdexSDK\\data");
//跟踪一些 我们预先设置的的分类器，比如开心，讨厌等等
TurnOnClassifiers();
Detector.setImageListener(AffdexListener);//设置两个监听
Detector.setProcessStatusListener(AffdexListener);
Detector.start();
}
catch (Affdex.AffdexException ex)
{
//if (!String.IsNullOrEmpty(ex.Message))
//{
// // If this is a camera failure, then reset the application to allow the user to turn on/enable camera
// if (ex.Message.Equals("Unable to open webcam."))
// {
// MessageBoxResult result = MessageBox.Show(ex.Message,
// "AffdexMe Error",
// MessageBoxButton.OK,
// MessageBoxImage.Error);
// StopCameraProcessing();
// return;
// }
//}
//String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
//ShowExceptionAndShutDown(message);
}
catch (Exception ex)
{
//String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
//ShowExceptionAndShutDown(message);
}
}
protected GCHandle h1, h2, h3; //handles to unmanaged function pointer callbacks
/// <summary>
/// Initialize the detector. Creates the instance for later calls
/// </summary>
/// <param name="discrete"></param>
/// <param name="detector">Core detector object. Handles all communication with the native APIs.</param>
public abstract IEnumerator Initialize(Detector detector, int discrete);