private void SurveillanceOnFaceDetected(Mat mat, List <Rectangle> faces, List <Rectangle> eyes)
{
//todo : maybe just put additional level of rectangles on what is already there;
var frame = mat.Clone();
foreach (Rectangle face in faces)
{
CvInvoke.Rectangle(frame, face, new Bgr(Color.Red).MCvScalar, 2);
}
foreach (Rectangle eye in eyes)
{
CvInvoke.Rectangle(frame, eye, new Bgr(Color.Blue).MCvScalar, 2);
}
imageBox2.Image = frame;
var text = LabelText;
if (checkBoxCapture.Checked && faces.Count == 1 && eyes.Count == 2 && text != null && text.Length > 0)
{
MemoryStream imageMemoryStream = new MemoryStream();
Image imageToTrain = mat.Bitmap;
imageToTrain.Save(imageMemoryStream, ImageFormat.Png);
var directory = String.Format("{0}/Output", Directory.GetCurrentDirectory());
var imageLabel = new ImageLabel(text, imageMemoryStream.ToArray());
var dal = new FileSystemDAL(directory);
dal.Add(imageLabel);
}
}
private static void RunTestData(Surveillance surveillance, string testSet)
{
var testImages = new FileSystemDAL(testSet).GetImages().ToList();
foreach (var image in testImages)
{
var(distance, label, labelId) = surveillance.Predict(Utils.GetMat(image.Image));
Console.WriteLine($"Img name : {image.Label} Prediction: {label}, Dist : {distance}");
}
}
public static IVideoGrab GetMockCamera(string path)
{
var trainDataDAL = new FileSystemDAL(path);
return(new MockVideoGrab(trainDataDAL.GetImages().Take(100).ToList(), TimeSpan.FromMilliseconds(250)));
}
