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();
}
}
/// <summary>
/// 创建自动化摄像头探测器
/// </summary>
/// <param name="classifierPath">分级器路径,默认在SDK安装目录下'AffdexSDK\data'</param>
/// <param name="cameraId">系统摄像头Id</param>
/// <param name="cameraFps">捕捉帧频(帧/秒)</param>
/// <param name="processFps">处理帧频(帧/秒)</param>
/// <param name="maxNumFaces">最多识别人脸</param>
/// <param name="faceConfig">人脸识别尺寸(LARGE_FACES/SMALL_FACES)</param>
public AutoCameraDetector(string classifierPath, int cameraId, double cameraFps, double processFps,
uint maxNumFaces = 1000,
FaceDetectorMode faceConfig = FaceDetectorMode.LARGE_FACES) : base(cameraId,
cameraFps, processFps, maxNumFaces, faceConfig)
{
InitDetectConfiguration(cameraId, classifierPath);
}
public static AffdexAdapter CreateSingleton(FaceDetectorMode mode)
{
if (affdex == null)
{
affdex = new AffdexAdapter(mode);
}
return(affdex);
}
public static AffdexAdapter CreateSingleton(FaceDetectorMode mode)
{
if (affdex == null)
{
affdex = new AffdexAdapter(mode);
}
affdex.OnFailure = null;
affdex.OnSuccess = null;
return(affdex);
}
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);
}
