private void button4_Click(object sender, EventArgs e)
{
DialogResult dialogResult = MessageBox.Show("Delete user.All profile and picture will dissapear.", "Caution", MessageBoxButtons.YesNo);
if (dialogResult == DialogResult.Yes)
{
db.DeleteUser(Int32.Parse(userId));
db.DeleteAllUserImage(Int32.Parse(userId));
FillData();
imageBox7.Image = null;
}
else if (dialogResult == DialogResult.No)
{
//do something else
}
}
private void button1_Click(object sender, EventArgs e)
{
string dateTemp = dateTimePicker1.Value.ToString("s");
if (mydb.checkUserProfile(textBox1.Text, textBox2.Text))
{
mydb.InsertUserData(textBox1.Text, textBox2.Text, dateTemp, comboBox1.Text, comboBox2.Text);
}
newid = mydb.getUserId(textBox1.Text, textBox2.Text, dateTemp, comboBox1.Text);
if (newid != 0)
{
if (!TrainFrame(newid))
{
mydb.DeleteUser(newid);
}
else
{
MessageBox.Show("trainsuccess");
}
}
}
private void TrainFrame(object sender, EventArgs e)
{
try
{
imageFrameT = captureT.QueryFrame();
Image <Gray, byte> darkimage = new Image <Gray, byte>(ROIwidth, ROIheight);
Image <Gray, byte> cropimage = new Image <Gray, byte>(ROIwidth, ROIheight);
Image <Gray, byte> plainimage = new Image <Gray, byte>(ROIwidth, ROIheight);
//ArrayList pic = new ArrayList();
if (imageFrameT != null)
{
Image <Gray, byte> greyImage = imageFrameT.Copy().Convert <Gray, byte>();
var faces = face.Detect(greyImage, 1.3, 6, HAAR_DETECTION_TYPE.FIND_BIGGEST_OBJECT, new Size(120, 120), new Size(300, 300));
if (faces.Length > 0)
{
label6.ForeColor = Color.Chocolate;
label6.Text = "Tracking Face";
foreach (var facecount in faces)
{
facePosition = new Point(facecount.rect.X, facecount.rect.Y);
faceRectangleSize = new Size(facecount.rect.Width, facecount.rect.Height);
faceRectangle = new Rectangle(facePosition, faceRectangleSize);
greyImage.ROI = faceRectangle;
var eyeObjects = eyeWithGlass.DetectMultiScale(greyImage, 1.3, 6, minEye, maxEye);
greyImage.ROI = Rectangle.Empty;
if (eyeObjects.Length == 2)
{
Console.WriteLine("eye");
if (eyeObjects[0].X > eyeObjects[1].X)
{
var temp = eyeObjects[0];
eyeObjects[0] = eyeObjects[1];
eyeObjects[1] = temp;
}
int betweeneLength = eyeObjects[1].X - eyeObjects[0].X;
int lefteyebrowpoint = eyeObjects[0].X; //
int righteyebrowpoint = eyeObjects[1].X + eyeObjects[1].Width; //
int margin = (int)((1.5 / 8.0) * betweeneLength);
int neareyebrowpoint = (int)(0.2 * betweeneLength);
int faceheight = (int)(2.3 * betweeneLength);
realFacePosition = new Point(facePosition.X + lefteyebrowpoint - margin, facePosition.Y + eyeObjects[0].Y - neareyebrowpoint);
realfaceRectangleSize = new Size((righteyebrowpoint + margin) - (lefteyebrowpoint - margin), faceheight);
realfaceRectangle = new Rectangle(realFacePosition, realfaceRectangleSize);
greyImage.ROI = realfaceRectangle;
imageFrameT.Draw(realfaceRectangle, new Bgr(Color.LimeGreen), 2);
if (trainflag)
{
//get bigger face in frame
cropimage = greyImage.Resize(ROIwidth, ROIheight, INTER.CV_INTER_LINEAR);
if (!cropimage.Equals(darkimage))
{
cropimage._EqualizeHist();
CvInvoke.cvFastNlMeansDenoising(cropimage, cropimage, 3, 7, 21);
plainimage = cropimage.Copy();
Point[] pL = new Point[3];
Point[] pR = new Point[3];
int y0 = 105;
int y1 = 174;
int x0 = 0;
int x1 = 34;
int x2 = 105;
int x3 = 139;
pL[0] = new Point(x0, y0);
pL[1] = new Point(x0, y1);
pL[2] = new Point(x1, y1);
pR[0] = new Point(x3, y0);
pR[1] = new Point(x3, y1);
pR[2] = new Point(x2, y1);
cropimage.FillConvexPoly(pL, new Gray(128));
cropimage.FillConvexPoly(pR, new Gray(128));
//cropimage = cropimage.SmoothMedian(3);
imageBox7.Image = cropimage; //line 2
cropimage.Save(folderPath + tempPath);
string dbPath = (folderPath + tempPath).Replace("\\", "/");
plainimage.Save(folderPath + tempPath2);
string dbPathPlain = (folderPath + tempPath2).Replace("\\", "/");
mydb.InsertImageTraining(newid, dbPathPlain, dbPath, true);
label6.ForeColor = Color.ForestGreen;
label6.Text = "Success";
//File.Delete(tempPath);
//eigenRecog.reloadData();
imageBox7.Image = cropimage;
imageCount++;
}
else
{
label6.ForeColor = Color.Red;
label6.Text = "Fail";
}
if (imageCount > 25)
{
trainflag = false;
imageCount = 1;
label6.ForeColor = Color.LimeGreen;
label6.Text = "Finish";
}
}
}
}
}
else
{
label6.ForeColor = Color.DeepSkyBlue;
label6.Text = "Idle";
}
imageBox1.Image = imageFrameT;
}
else
{
mydb.DeleteUser(newid);
}
}
catch
{
// MessageBox.Show("Enable the face detection first", "Training Fail", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
}
}
