如何让Affectiva调用我的回调函数?

时间:2016-10-05 19:29:09

标签: c# wpf callback affdex-sdk

我最近安装了Affectiva SDK(http://www.affectiva.com/)并按照教程分析来自摄像头的输入(http://developer.affectiva.com/v3/android/analyze-camera/)。不幸的是,该项目似乎没有起作用。我的理解是,当检测到面部等时,需要调用FaceListener, ImageListener, ProcessStatusListener的接口/回调函数(这是正确的)。

我没有收到任何错误,但是从未调用过这些函数(我已将Console.WriteLine语句放在那里,以及在Visual Studio中放置了断点)。不时有一系列" Image Captured"语句打印到控制台,但我还不能重现如何或为什么会发生这种情况。有谁知道我做错了什么?提前感谢您的帮助。

到目前为止,我的代码如下:

  

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();
        }
    }
}

1 个答案:

答案 0 :(得分:0)

我认为您正在查看错误的文档。您可以找到适用于Windows SDK here的正确文档。快速查看代码片段,您正在设置int camId = 10;,这意味着探测器正在寻找系统上ID为10的Camera。默认情况下,内置摄像头具有id = 0。我们将默认的CameraId设置为0,并将帧处理的速率设置为30.Here是CameraDetector的默认构造函数定义。

您可以使用此example分析相机Feed。我们还有一些准备好的应用程序可以在github上使用,主要是Affdex-Mecsharp-sample-apps