public void TrainImages()
{
string path = Application.StartupPath + @"/../../Images/";
string[] files = Directory.GetFiles(path, "*.jpg", SearchOption.AllDirectories);
// int[] labelsDb = _context.Labels.Select(_ => _.LabelNumber).ToArray();
List <int> labelsDb = new List <int>();
Mat[] matImages = new Mat[files.Length];
for (int i = 0; i < files.Length; i++)
{
matImages[i] = new Image <Gray, byte>(files[i]).Mat;
string[] strings = files[i].Split('-');
string number = strings[strings.Length - 1].Split('.')[0];
labelsDb.Add(int.Parse(number));
}
VectorOfMat images = new VectorOfMat(matImages);
VectorOfInt labels = new VectorOfInt(labelsDb.ToArray());
faceRecognizer.Train(images, labels);
faceRecognizer.Write(Application.StartupPath + @"/../../Images/eigenRecognizer.yml");
fisherRecognizer.Train(images, labels);
fisherRecognizer.Write(Application.StartupPath + @"/../../Images/fisherRecognizer.yml");
LBPHFaceRecognizer.Train(images, labels);
LBPHFaceRecognizer.Write(Application.StartupPath + @"/../../Images/lpbhRecognizer.yml");
isTrained = true;
}
public async Task TrainAsync()
{
await Task.CompletedTask;
var files = Directory.GetFiles(DataFolder, "*.image");
if (files?.Length > 0)
{
var count = files.Length;
var counter = 0;
var faceImages = new Mat[count];
var faceLabels = new int[count];
foreach (var file in files)
{
var faceImage = new Image <Gray, byte>(file);
faceImage = ResizeImage(faceImage);
faceImages[counter] = faceImage.Mat;
faceLabels[counter] = int.Parse(Path.GetFileName(file).Split('.').First());
counter++;
}
//_fisherFaceRecognizer.Train(faceImages, faceLabels);
//_fisherFaceRecognizer.Write(FisherTrainingDataPath);
_lbphFaceRecognizer.Train(faceImages, faceLabels);
_lbphFaceRecognizer.Write(LBPHTrainingDataPath);
}
}