How do I make Affectiva call my callback functions?

Question

I recently installed the Affectiva SDK (http://www.affectiva.com/) and followed the tutorial on analyzing input from the camera (http://developer.affectiva.com/v3/android/analyze-camera/). Unfortunately, the project does not seem to be working. It is my understanding that the interface/callback functions from FaceListener, ImageListener, ProcessStatusListener need to be called when a face is detected etc (is this correct).

I am not getting any errors, but these functions are never called either (I've put Console.WriteLine statements in there, as well as placed breakpoints in Visual Studio). From time to time, a series of "Image Captured" statements are printed to the console, but I cannot yet reproduce how or why that happens. Does anyone know what I did wrong? Thank you in advance for any help.

Below is my code so far:

App.xaml.cs

using Affdex;
using System;
using System.Collections.Generic;
using System.Configuration;
using System.Data;
using System.Linq;
using System.Threading.Tasks;
using System.Windows;

namespace Affectiva
{

    /// <summary>
    /// Interaction logic for App.xaml
    /// </summary>
    public partial class App : Application, FaceListener, ImageListener, ProcessStatusListener
    {
        public static CameraDetector detector;
        int camId = 10;
        int camFPS = 60;

        public App(){
            detector = new CameraDetector();
            String classifierPath = "C:\\Program Files (x86)\\Affectiva\\Affdex SDK\\data";
            detector.setClassifierPath(classifierPath);

            detector.setCameraId(camId);
            detector.setCameraFPS(camFPS);

            detector.setFaceListener(this);
            detector.setImageListener(this);
            detector.setProcessStatusListener(this);

            detector.setDetectSmile(true);
            detector.setDetectJoy(true);

            detector.setDetectAllExpressions(true);
            detector.setDetectAllEmotions(true);
            detector.setDetectAllEmojis(true);
            detector.setDetectAllAppearances(true);
        }

        public void onFaceFound(float f, int i)
        {
            Console.WriteLine("Face Found!");
        }

        public void onFaceLost(float f, int i)
        {
            Console.WriteLine("Face Lost!");
        }

        public void onImageResults(Dictionary<int, Face> faces, Frame f){
            Console.WriteLine("OnImageResults - " + faces.Count);
            if(faces.Count > 0)
                Console.WriteLine(faces.First().Value.Appearance.Age);
        }

        public void onImageCapture(Frame f){
            Console.WriteLine("Image Captured " + f.getHeight());
        }

        public void onProcessingFinished()
        {
            Console.WriteLine("Processing Finished");
        }

        public void onProcessingException(AffdexException e)
        {
            Console.WriteLine(e.Message);
        }
    }
}

MainWindow.xaml.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
using System.Windows;
using System.Windows.Controls;
using System.Windows.Data;
using System.Windows.Documents;
using System.Windows.Input;
using System.Windows.Media;
using System.Windows.Media.Imaging;
using System.Windows.Navigation;
using System.Windows.Shapes;
using System.Windows.Threading;
using WebEye.Controls.Wpf;

namespace Affectiva
{
    /// <summary>
    /// Interaction logic for MainWindow.xaml
    /// </summary>
    public partial class MainWindow : Window
    {
        public MainWindow()
        {
            InitializeComponent();
        }

        private void OnStartButtonClick(object sender, RoutedEventArgs e)
        {
            var cameraId = webCameraControl.GetVideoCaptureDevices().First();
            webCameraControl.StartCapture(cameraId);
            App.detector.start();
        }
    }
}

score 0 · Answer 1 · answered Oct 05 '16 at 20:31

I think you are looking at the wrong documentation.You can find the right documentation for Windows SDK here. A quick look at the code snippet, you are setting int camId = 10; which means that the detector is looking for Camera with id 10 on the system. By default the inbuilt camera has an id = 0. We set the default CameraId to 0 and the rate at which we process the frames to 30.Here is the default constructor definition for CameraDetector.

You can analyze the camera feed using this example. We also have some ready to go application available on github mainly Affdex-Me and csharp-sample-apps.

Whoops, I linked the wrong documentation. I did in fact use [this](http://developer.affectiva.com/v3_1_1/windows/analyze-camera/) documentation. The id thing seems like a very silly mistake, I changed it to 0 now, but it still does not work, unfortunately. I will now take a look at your github examples, and see if I can learn from them. Thank you for your response! — Wouter, Oct 05 '16 at 21:18

How do I make Affectiva call my callback functions?

1 Answers1