示例#1
0
        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();
            }
        }
示例#2
0
        /// <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);
            }
        }