private void loadDataList()
{
mapImage = new Hashtable();
DirectoryInfo directory = new DirectoryInfo(Gobal.TRAIN_PATH);
FileInfo[] files = directory.GetFiles("*0.jpg");
foreach (FileInfo f in files)
{
String sid = f.Name.Split('.')[0].Split('-')[0];
Image <Gray, Byte> trainingImage = new Image <Gray, Byte>(f.FullName).Convert <Gray, Byte>();
trainingImage = Process.Detector.PreProcess(trainingImage);
UCResultItem ucResultItem = new UCResultItem(trainingImage, f.Name.Split('.')[0]);
mapImage.Add(sid, ucResultItem);
StackPanelMain.Children.Add(ucResultItem);
}
for (int i = 0; i < found.Length; i++)
{
if (found[i] != null)
{
if (found[i].Distance < double.MaxValue)
{
Student s = (Student)mapStudentData[i + ""];
UCResultItem item = (UCResultItem)mapImage[s.StudentID];
item.RPic.Source = Display.Bitmap.ToBitmapSource(found[i].Image);
item.Name.Content = found[i].Distance;
}
}
}
}
private void loadData()
{
items = new List <UCResultItem>();
String currDatePath = Gobal.RESULT_PATH + "/" + cbResultDate.SelectedItem;
DirectoryInfo directory = new DirectoryInfo(currDatePath);
FileInfo[] files = directory.GetFiles("*.txt");
StackPanelMain.Children.Clear();
foreach (FileInfo f in files)
{
string[] lines = System.IO.File.ReadAllLines(currDatePath + "/" + f.Name);
Image <Bgr, Byte> trainingImage = new Image <Bgr, Byte>(Gobal.TRAIN_PATH + "/" + f.Name.Split('.')[0] + "-0.jpg");
Image <Bgr, Byte> resultImage = new Image <Bgr, Byte>(currDatePath + "/" + f.Name.Split('.')[0] + ".jpg");
String text = lines[0];
String[] split = text.Split('\t');
// resultImage._EqualizeHist();
UCResultItem ucResultItem = new UCResultItem(trainingImage, resultImage, split[1] + " " + split[2] + " " + split[3]);
StackPanelMain.Children.Add(ucResultItem);
}
}
void timer_Tick(object sender, EventArgs e)
{
try
{
currentFrame = capture.QueryFrame();
Image <Gray, Byte> gray = currentFrame.Convert <Gray, byte>();
faceDetected = Process.Detector.DetectFace(gray);
double[] distance = new double[found.Length + 1];
List <DrawTextData> faceFound = new List <DrawTextData>();
faceObjects[0] = new List <FaceObject>();
for (int i = 0; i < faceDetected.Length; i++)
{
Image <Gray, Byte> face = gray.Copy(faceDetected[i]).Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
face = Process.Detector.PreProcess(face);
FaceRecognizer.PredictionResult tmp = recognizer.Who(face);
FaceRecognizer.PredictionResult tmp2 = recognizer.Who(face.Copy().Flip(FLIP.HORIZONTAL).Convert <Gray, Byte>());
FaceRecognizer.PredictionResult who = tmp.Distance < tmp2.Distance ? tmp : tmp2;
if (who.Label > -1)
{
FaceObject facObj = new FaceObject(faceDetected[i], face, who.Distance, who.Label, CurrentMillis.Millis + "");
facObj.Label = who.Label;
facObj.Distance = who.Distance;
facObj.Rect = faceDetected[i];
facObj.DateTime = CurrentMillis.Millis + "";
faceObjects[0].Add(facObj);
}
}
if (faceObjects[1] != null)
{
foreach (FaceObject fobj1 in faceObjects[1])
{
int idxMin = -1;
double d2pMin = Double.MaxValue;
for (int i = 0; i < faceObjects[0].Count; i++)
{
double d2p = Math.Sqrt((fobj1.Rect.X - faceObjects[0][i].Rect.X) * (fobj1.Rect.X - faceObjects[0][i].Rect.X) + (fobj1.Rect.Y - faceObjects[0][i].Rect.Y) * (fobj1.Rect.Y - faceObjects[0][i].Rect.Y));
if (d2p < d2pMin)
{
d2pMin = d2p; idxMin = i;
}
}
Student s = (Student)mapStudentData[fobj1.Label + ""];
String text = s.ID + " " + s.StudentID + " " + s.Name + " " + s.LastName;
if (d2pMin > 50f)
{
if (found[fobj1.Label] != null)
{
if (found[fobj1.Label].Distance > fobj1.Distance)
{
found[fobj1.Label] = new Found(fobj1.Distance, fobj1.Image.Clone());
Image <Gray, byte> test = found[fobj1.Label].Image.Clone();
String imagePath = currDatePath + s.StudentID + ".jpg";
Display.Bitmap.SaveToJpeg(found[fobj1.Label].Image.Clone().Convert <Gray, Byte>(), imagePath);
using (System.IO.StreamWriter file = new System.IO.StreamWriter(currDatePath + s.StudentID + ".txt"))
{
String textOut = s.ID + "\t" + s.StudentID + "\t" + s.Name + "\t" + s.LastName + "\t" + fobj1.Distance;
file.WriteLine(textOut);
}
}
}
}
else
{
if (faceObjects[0][idxMin].Distance > fobj1.Distance)
{
faceObjects[0][idxMin].Distance = fobj1.Distance;
faceObjects[0][idxMin].Label = fobj1.Label;
faceObjects[0][idxMin].Image = fobj1.Image.Clone();
}
faceObjects[0][idxMin].DateTime = fobj1.DateTime;
}
distance[fobj1.Label] = fobj1.Distance;
faceFound.Add(new DrawTextData(fobj1.Rect, text + " " + fobj1.Distance));
}
}
// StackPanelMain.Children.Clear();
for (int i = 0; i < found.Length; i++)
{
if (found[i] != null)
{
if (found[i].Distance < double.MaxValue)
{
Student s = (Student)mapStudentData[i + ""];
UCResultItem item = (UCResultItem)mapImage[s.StudentID];
item.RPic.Source = Display.Bitmap.ToBitmapSource(found[i].Image);
item.Name.Content = found[i].Distance + " " + distance[i];
mark(i);
//StackPanelMain.Children[2]
// StackPanelMain.Children.Add(item);
}
}
}
faceObjects[1] = new List <FaceObject>(faceObjects[0]);
DispFrame.Source = Display.Bitmap.ToBitmapSource(Process.Detector.DrawFace(currentFrame.Clone(), faceDetected, (faceFound.Count > 0)), faceFound);
}
catch {
}
}
