public FormManualTrain(Form1 frm1)
{
InitializeComponent();
browseImage = new OpenFileDialog();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
if (File.ReadAllText("setting.txt") != null)
{
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
}
public FormManualTrain(Form1 frm1)
{
InitializeComponent();
browseImage = new OpenFileDialog();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
if (File.ReadAllText("setting.txt") != null)
{
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
}
public FormManageData(Form1 frm1,Classifier_Train cls)
{
InitializeComponent();
db = new DBConn();
_form1 = frm1;
FillData();
eigenRecog = cls;
browseImage = new OpenFileDialog();
}
public FormManageData(Form1 frm1, Classifier_Train cls)
{
InitializeComponent();
db = new DBConn();
_form1 = frm1;
FillData();
eigenRecog = cls;
browseImage = new OpenFileDialog();
}
public FormTrain(Form1 frm1)
{
InitializeComponent();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
captureT = new Capture();
Application.Idle += new EventHandler(runningCamera);
}
public FormTrain(Form1 frm1)
{
InitializeComponent();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
captureT = new Capture();
Application.Idle += new EventHandler(runningCamera);
}
public Form1()
{
InitializeComponent();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
maxImageCount = (int)Math.Sqrt(mydb.getImageCount());
if (maxImageCount % 2 == 0)
{
maxImageCount--;
if(maxImageCount > 15){
maxImageCount = 15;
}
}
else
{
if (maxImageCount > 15)
{
maxImageCount = 15;
}
}
progressBar1.Maximum = maxImageCount;
recogNameResult = new List<string>();
recogDistanceResult = new List<double>();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.4d, 0.4d);
fontbig = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.6d, 0.6d);
fontverybig = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.8d, 0.8d);
//log record
DateTime now = DateTime.Now;
logName = now.ToString();
logName = logName.Replace("/", "").Replace(":", "").Replace(" ", "");
label2.Text = "Idle";
if(File.Exists("setting.txt")){
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
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);
eigenRecog = new Classifier_Train();
}
public Form1()
{
InitializeComponent();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
maxImageCount = (int)Math.Sqrt(mydb.getImageCount());
if (maxImageCount % 2 == 0)
{
maxImageCount--;
if (maxImageCount > 15)
{
maxImageCount = 15;
}
}
else
{
if (maxImageCount > 15)
{
maxImageCount = 15;
}
}
progressBar1.Maximum = maxImageCount;
recogNameResult = new List <string>();
recogDistanceResult = new List <double>();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.4d, 0.4d);
fontbig = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.6d, 0.6d);
fontverybig = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.8d, 0.8d);
//log record
DateTime now = DateTime.Now;
logName = now.ToString();
logName = logName.Replace("/", "").Replace(":", "").Replace(" ", "");
label2.Text = "Idle";
if (File.Exists("setting.txt"))
{
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
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);
eigenRecog = new Classifier_Train();
}
