public void Procesa_Texto(string str)
{
string[] words = str.Split(' ');
switch (words[0])
{
case "show":
if (words.Length < 2)
{
terminal.Express("Show what?", Expression_Types.Information);
terminal.Express("Try: show <option>", Expression_Types.Information);
terminal.Express("Options: vision, <person name>", Expression_Types.Information);
}
else
{
switch (words[1])
{
case "vision":
m_Vision_Sense.Show_Sense(true);
break;
default:
/* int index = vision.recognized_people.IndexOf(words[1]);
* if (index >= 0)
* {
* Vision_Person_Name_Form person_form = new Vision_Person_Name_Form(index);
* person_form.Show();
* }
* else
* {
* Brain.terminal.PrintLn("That person is no registered in the system.");
* }*/
break;
}
}
break;
default:
terminal.Express("?", Expression_Types.Information);
break;
}
}
internal void Start()
{
//Initialize the capture device
grabber = new Capture();
grabber.QueryFrame();
//Initialize the FrameGraber event
m_Idle_Handler = new EventHandler(FrameGrabber);
Application.Idle += m_Idle_Handler;
//Load haarcascades for face detection
frontal_face_pattern = new HaarCascade("haarcascade_frontalface_default.xml");
//eye = new HaarCascade("haarcascade_eye.xml");
try
{
//Load of previus trainned faces and labels for each image
string Labelsinfo = File.ReadAllText(Application.StartupPath + "/TrainedFaces/TrainedLabels.txt");
string[] Labels = Labelsinfo.Split('%');
NumLabels = Convert.ToInt16(Labels[0]);
ContTrain = NumLabels;
string LoadFaces;
for (int tf = 1; tf < NumLabels + 1; tf++)
{
LoadFaces = "face" + tf + ".bmp";
training_images.Add(new Image <Gray, byte>(Application.StartupPath + "/TrainedFaces/" + LoadFaces));
face_labels.Add(Labels[tf]);
recognized_people.Add(Labels[tf]);
recognized_faces.Add(new Image <Gray, byte>(Application.StartupPath + "/TrainedFaces/" + LoadFaces));
recognized_flags.Add(false);
}
Train();
}
catch (Exception e)
{
//MessageBox.Show(e.ToString());
MessageBox.Show("Nothing in binary database, please add at least a face(Simply train the prototype with the Add Face Button).", "Triained faces load", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
}
m_Terminal.Express("Vision started.", Expression_Types.Information);
}
public void Start(ITerminal c)
{
terminal = c;
m_Vision_Sense = Vision.Sense.Get_Sense();
m_Vision_Sense.Start(c);
m_Voice_Sense = Speech.Sense.Get_Sense();
m_Voice_Sense.Start(c);
m_Expresion_Senses.Add(m_Voice_Sense);
terminal.Express("Brain started." + Environment.NewLine, Expression_Types.Information);
terminal.Express("Artificial Neural Network Dynamicly Redesigned (Entidad Artificial) Version beta.", Expression_Types.Console);
terminal.Express("Official repository: https://github.com/dancasmed/Examples/tree/master/C%20Sharp/Andrea" + Environment.NewLine, Expression_Types.Console);
terminal.Express("Created by Daniel Castro [email protected]" + Environment.NewLine, Expression_Types.Console);
terminal.Express("Available commands:", Expression_Types.Console);
terminal.Express("show" + Environment.NewLine + Environment.NewLine, Expression_Types.Console);
Express("Hi, my name is Anndrea", Expression_Types.Interaction);
}
internal void Start()
{
synth.SetOutputToDefaultAudioDevice();
synth.Rate = -2;
m_Terminal.Express("Voice started.", Expression_Types.Information);
}
