/// <summary>
/// Loads the given target faces into the eigen object recognizer
/// </summary>
/// <param name="faces">The target faces to use for training. Faces should be 100x100 and grayscale.</param>
public virtual void SetTargetFaces(IEnumerable<IEigenObjectTargetFace> faces)
{
lock (this.processingMutex)
{
if (faces != null && faces.Any())
{
this.Recognizer = new EigenObjectRecognizer(faces, this.Threshold);
}
}
}
public void ManagedRecognizerSucessfullyRecognizesMe()
{
var faces = new List<IEigenObjectTargetFace>();
foreach (var trainingImage in Directory.GetFiles(".", "train*.*"))
{
var mockFace = new Mock<IEigenObjectTargetFace>()
.SetupProperty(x => x.Image, new Bitmap(trainingImage))
.SetupProperty(x => x.Key, trainingImage)
.Object;
faces.Add(mockFace);
}
var recognizer = new EigenObjectRecognizer(faces);
double eigenDistance;
var result = recognizer.Recognize(new Bitmap("test_mike.png"), out eigenDistance);
Assert.AreEqual(734.0479, Math.Round(eigenDistance, 4));
Assert.AreEqual(@".\train_mike_2.png", result);
}
