public void TrainAndPredict()
{
using (var image = Image("lenna.png"))
using (var grayImage = image.CvtColor(ColorConversionCodes.BGR2GRAY))
using (var model = LBPHFaceRecognizer.Create())
using (var cascade = new CascadeClassifier("_data/text/haarcascade_frontalface_default.xml"))
{
var rects = cascade.DetectMultiScale(image);
model.Train(new[] { grayImage }, new[] { 1 });
foreach (Rect rect in rects)
{
using (Mat face = grayImage[rect].Clone())
{
Cv2.Resize(face, face, new Size(256, 256));
model.Predict(face, out int label, out double confidence);
Console.WriteLine($"{label} ({confidence})");
Assert.Equal(1, label);
Assert.NotEqual(0, confidence, 9);
Window.ShowImages(face);
}
}
}
}
public void CreateAndDispose()
{
var recognizer = LBPHFaceRecognizer.Create(1, 8, 8, 8, 123);
recognizer.Dispose();
}
