/// <summary>
///
/// </summary>
/// <param name="numComponents"></param>
/// <param name="threshold"></param>
/// <returns></returns>
public static BasicFaceRecognizer CreateEigenFaceRecognizer(
int numComponents = 0, double threshold = Double.MaxValue)
{
return(FaceRecognizer.CreateEigenFaceRecognizer(numComponents, threshold));
}
protected override void OnLoad(EventArgs e)
{
// http://docs.opencv.org/modules/contrib/doc/facerec/tutorial/facerec_video_recognition.html
var images = Directory.EnumerateDirectories("data/people")
.OrderBy(p => p)
.SelectMany(person => Directory.EnumerateFiles(person, "*.pgm")
.OrderBy(p => p)
.Select(p => Mat.FromStream(File.OpenRead(p), LoadMode.AnyColor).CvtColor(ColorConversion.BgrToGray)))
.ToArray();
var labels = Directory.EnumerateDirectories("data/people")
.OrderBy(p => p)
.SelectMany((person, i) => Directory.EnumerateFiles(person, "*.pgm")
.OrderBy(p => p)
.Select(_ => i))
.ToArray();
var indexToName = Directory.EnumerateDirectories("data/people")
.OrderBy(p => p)
.Select(Path.GetFileName)
.ToArray();
var recognizer = FaceRecognizer.CreateEigenFaceRecognizer();
var sw = new Stopwatch();
sw.Start();
recognizer.Train(images, labels);
sw.Stop();
Debug.WriteLine("training " + sw.ElapsedMilliseconds);
CascadeClassifier haar_cascade = new CascadeClassifier("cascades/haarcascade_frontalface_alt2.xml");
var displays = new List <NetworkStream>();
Task.Factory.StartNew(() =>
{
var listener = new TcpListener(IPAddress.Any, 60001);
listener.Start();
while (true)
{
try
{
var socket = listener.AcceptSocket();
Debug.WriteLine(socket.RemoteEndPoint);
displays.Add(new NetworkStream(socket, true));
}
catch
{ }
}
});
Task.Factory.StartNew(() =>
{
var listener = new TcpListener(IPAddress.Any, 60000);
listener.Start();
while (true)
{
try
{
var socket = listener.AcceptSocket();
Debug.WriteLine(socket.RemoteEndPoint);
var stream = new BufferedStream(new NetworkStream(socket, true));
var reader = new BinaryReader(stream);
while (true)
{
var data = new List <byte>();
var imageSize = reader.ReadInt32();
Debug.WriteLine("image size " + imageSize);
while (data.Count != imageSize)
{
var imageData = reader.ReadBytes(imageSize - data.Count);
data.AddRange(imageData);
}
var image = Mat.FromStream(new MemoryStream(data.ToArray()), LoadMode.AnyColor);
Detect(recognizer, haar_cascade, image, displays, indexToName);
}
}
catch (Exception ex)
{
Debug.WriteLine(ex);
}
}
}, TaskCreationOptions.LongRunning);
/*
* VideoCapture cap = new VideoCapture(0);
* if (!cap.IsOpened())
* {
* throw new Exception("???");
* }
*
* Task.Factory.StartNew(() =>
* {
* Mat frame = new Mat();
* while (true)
* {
* cap.Read(frame);
* if (frame.Empty())
* {
* Thread.Sleep(250);
* continue;
* }
*
* var original = frame.Clone();
* Detect(recognizer, haar_cascade, original);
* }
* }, TaskCreationOptions.LongRunning);
*/
}
public void CreateAndDisposeEigen()
{
var recognizer = FaceRecognizer.CreateEigenFaceRecognizer();
recognizer.Dispose();
}
