private bool trackingInit(Image <Bgr, byte> bgrImage)
{
using (var grayframe = new Image <Gray, byte>(new Bitmap(bgrImage.Bitmap)))
{
var faceDetector = new FaceDetector();
isInit = tracker.Init(grayframe.Mat, humanFace.faceRectangle);
//Debug.Print("Tracking Init {0}", isInit);
if (isInit && !findFace)
{
bgrImage = faceDetector.drawFaceToImage(bgrImage, humanFace);
findFace = true;
UpdatePersonAsync();
failFrameCount = 0;
}
return(isInit);
}
}
private async void BtnImport_Click(object sender, EventArgs e)
{
FaceDetector faceDetector = new FaceDetector();
int successCount = 0;
foreach (String file in files)
{
if (File.Exists(file))
{
var filename = Path.GetFileNameWithoutExtension(file);
Image imageFile = Image.FromFile(file);
var human = faceDetector.findHumanFace(imageFile);
if (human.Count() > 0)
{
Byte[] bytes = human[0].face.Resize(RESIZE_IMAGE_WIIDTH, RESIZE_IMAGE_HEIGHT, Emgu.CV.CvEnum.Inter.Cubic).ToJpegData();
//Byte[] bytes = File.ReadAllBytes(file);
String image = Convert.ToBase64String(bytes);
try
{
if (!(await ImportFaceToServerAsync(new Person(filename, "", new WebEntity.Face(image)))))
{
LstFailBox.Items.Add(file);
}
else
{
successCount++;
}
}
catch (Exception ex)
{
Debug.WriteLine("Error import image: " + ex);
LstFailBox.Items.Add(file);
}
}
}
}
MessageBox.Show("Import complete, total " + successCount + " file import success.", "Import complete", MessageBoxButtons.OK);
}
public bool trackFace(Image <Bgr, byte> bgrImage)
{
var result = false;
using (var grayframe = new Image <Gray, byte>(new Bitmap(bgrImage.Bitmap)))
{
if (!isInit)
{
if (bgrImage != null)
{
result = trackingInit(bgrImage);
}
}
else
{
if (bgrImage != null)
{
try
{
var updateFace = new Rectangle();
result = tracker.Update(grayframe.Mat, out updateFace);
if (!result)
{
failFrameCount++;
findFace = false;
}
else
{
//var updateFace = new Rectangle();
//var result = tracker.Update(grayframe.Mat, out updateFace);
/*
* for ( var i = 0; i < updateFace.ToArray().Count(); i ++)
* {
* bgrImage.Draw(updateFace.ToArray()[i], new Bgr(Color.Red), 3);
* }*/
Color color = Color.Gray;
if (Person != null)
{
color = Color.Green;
}
else if (FailToRecognize)
{
color = Color.Red;
}
bgrImage.Draw(updateFace, new Bgr(color), 3);
//TODO update name
if (Person != null)
{
using (Graphics g = Graphics.FromImage(bgrImage.Bitmap))
{
int tWidth = (int)g.MeasureString(Person.Name, new Font("Arial", 12, FontStyle.Bold)).Width;
int x;
if (tWidth >= updateFace.Width)
{
x = updateFace.Left - ((tWidth - updateFace.Width) / 2);
}
else
{
x = (updateFace.Width / 2) - (tWidth / 2) + updateFace.Left;
}
g.DrawString(Person.Name, new Font("Arial", 12, FontStyle.Bold), Brushes.Green, new PointF(x, updateFace.Top - 18));
}
}
humanFace.faceRectangle = updateFace;
findFace = true;
//UpdatePersonAsync();
if (FailToRecognize)
{
failFrameCount++;
successFrameCount = 0;
}
else
{
failFrameCount = 0;
if (successFrameCount > SUCCESSRETRYFRAMECOUNT)
{
FaceDetector faceDetector = new FaceDetector();
var detectedFaces = faceDetector.findFace(bgrImage);
var sameFaceFind = false;
foreach (var r1 in detectedFaces)
{
var r1Size = r1.Height * r1.Width;
var r2 = humanFace.faceRectangle;
float r2Size = r2.Height * r2.Width;
var r3 = Rectangle.Intersect(r1, r2);
if (!r3.IsEmpty)
{
float r3Size = r3.Height * r3.Width;
float ratio = r3Size / Math.Min(r1Size, r2Size);
if (ratio < INTERSECTRATIO)
{
Debug.Print("Face compare, Ratio: {0}", ratio);
}
else
{
sameFaceFind = true;
}
}
else
{
Debug.Print("r3 is empty");
}
}
if (!sameFaceFind)
{
missingFace = true;
}
faceDetector = null;
successFrameCount = 0;
}
else
{
successFrameCount++;
}
}
}
}
catch (Exception ex)
{
Debug.Print(ex.ToString());
}
}
}
}
return(result);
}
