private async void trainButton_Click(object sender, EventArgs e)
{
PersonGroup selectedPersonGroup = personGroups[personGroupSelector.SelectedIndex];
#if USE_OPENCV
List <Mat> images = new List <Mat>();
List <int> labels = new List <int>();
using (StreamReader r = new StreamReader(selectedPersonGroup.PersonGroupId + "/TrainData.dat"))
{
while (!r.EndOfStream)
{
string line = r.ReadLine();
string[] parts = line.Split('|');
Mat image = new Mat(parts[0], ImreadModes.GrayScale);
OpenCvSharp.Rect[] faces = DetectFacesInImage(image, HaarDetectionType.DoRoughSearch, new OpenCvSharp.Size(300, 300));
if (faces.Length == 1)
{
Mat crop = new Mat(image, faces[0]);
Mat resizedImage = new Mat();
Cv2.Resize(crop, resizedImage, new OpenCvSharp.Size(400, 400));
images.Add(resizedImage);
labels.Add(Convert.ToInt32(parts[1]));
}
}
faceRecognizer = OpenCvSharp.Face.FisherFaceRecognizer.Create();
faceRecognizer.Train(images, labels);
faceRecognizer.Write(selectedPersonGroup.PersonGroupId + "/Recognizer.dat");
}
#else
await faceServiceClient.TrainPersonGroupAsync(selectedPersonGroup.PersonGroupId);
#endif
}
private void identifyButton_Click(object sender, EventArgs e)
{
DialogResult result = openFileDialog.ShowDialog();
if (result == DialogResult.OK)
{
#if USE_OPENCV
PersonGroup selectedPersonGroup = personGroups[personGroupSelector.SelectedIndex];
faceRecognizer = OpenCvSharp.Face.FisherFaceRecognizer.Create();
faceRecognizer.Read(selectedPersonGroup.PersonGroupId + "/Recognizer.dat");
#endif
files = openFileDialog.FileNames;
currFileIdx = 0;
OpenAndIdentifyImage(files[currFileIdx]);
EnableNextAndPrevButtons();
}
}