public EmotionRecognizer(ImageListener listener)
{
detector = new PhotoDetector(3, FaceDetectorMode.SMALL_FACES);
var classifierPath = @"D:\dev\AffdexSDK\data";
detector.setClassifierPath(classifierPath);
detector.setDetectAllEmotions(true);
detector.setImageListener(listener);
detector.start();
}
public void Process(Bitmap image)
{
try
{
detector.start();
detector.process(image.ConvertToFrame());
}
catch (AffdexException ae)
{
detector.stop();
OnFailure?.Invoke(this, new DetectAdapterEventAgrs(ae));
}
}
private AffdexAdapter(FaceDetectorMode mode)
{
detector = new PhotoDetector(1, mode);
detector.setClassifierPath(classifierPath);
detector.setProcessStatusListener(this);
detector.setImageListener(this);
detector.setDetectAllAppearances(true);
detector.setDetectAllEmojis(true);
detector.setDetectAllEmotions(true);
detector.setDetectAllExpressions(false);
detector.start();
}
static void Main(string[] args)
{
/*
* CmdOptions options = new CmdOptions();
* if (CommandLine.Parser.Default.ParseArguments(args, options))
* {
* Affdex.Detector detector = null;
* List<string> imgExts = new List<string> { ".bmp", ".jpg", ".gif", ".png", ".jpe" };
* List<string> vidExts = new List<string> { ".avi", ".mov", ".flv", ".webm", ".wmv", ".mp4" };
* bool isCamera = (options.Input.ToLower() == "camera");
* bool isImage = imgExts.Any<string>(s => (options.Input.Contains(s) || options.Input.Contains(s.ToUpper())));
* bool isVideo = (!isImage && !isCamera);
*
* if (isCamera)
* {
* System.Console.WriteLine("Trying to process a camera feed...");
* detector = new Affdex.CameraDetector(0, 30, 30, (uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
*
* }
* else if (isImage)
* {
* System.Console.WriteLine("Trying to process a bitmap image..." + options.Input.ToString());
* detector = new Affdex.PhotoDetector((uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
* }
* else if (isVideo)
* {
* System.Console.WriteLine("Trying to process a video file..." + options.Input.ToString());
* detector = new Affdex.VideoDetector(30, (uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
* }
* else
* {
* System.Console.WriteLine("File-Type not supported.");
* }
* if (detector != null)
* {
* ProcessVideo videoForm = new ProcessVideo(detector);
* detector.setClassifierPath(options.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) ((Affdex.PhotoDetector)detector).process(LoadFrameFromFile(options.Input));
*
* videoForm.ShowDialog();
* detector.stop();
* }
*
* }
*/
PhotoDetector detector = new PhotoDetector(1, FaceDetectorMode.SMALL_FACES);
String classifierPath = "C:\\Program Files\\Affectiva\\AffdexSDK\\data";
detector.setClassifierPath(classifierPath);
ProcessVideo videoForm = new ProcessVideo(detector);
detector.setDetectAllEmotions(true);
detector.getDetectAge();
detector.start();
// System.Console.WriteLine("Face detector mode = " + detector.getFaceDetectorMode().ToString());
((Affdex.PhotoDetector)detector).process(LoadFrameFromFile(@"C:\Users\Mantas\Desktop\6.jpg"));
videoForm.ShowDialog();
detector.stop();
}