private void button_next_Click(object sender, EventArgs e)
{
if (btn_next.DialogResult == DialogResult.OK)
{
if (!m_appMode)
{
m_network = uc_gesture.MyNNetwork;
foreach (MyGesture group in uc_actions.NewGroups)
{
m_newGestures.Add(group);
}
foreach (MyGesture group in uc_actions.SelectedGroups)
{
string id = MyGesture.CreateUniqueId(m_tempGesture, m_gestures);
MyGesture gest = new MyGesture(id);
gest.SetItem(m_tempGesture);
gest.Activator = m_tempGesture.Activator;
gest.Action = m_tempGesture.Action;
gest.AppGroup = group;
m_newGestures.Add(gest);
m_gestures.Add(gest);
}
}
else
{
string id = MyGesture.CreateUniqueId(m_tempGesture, m_gestures);
MyGesture gest = new MyGesture(id);
gest.SetItem(m_tempGesture);
gest.Action = m_tempGesture.Action;
gest.Activator = new MouseActivator(string.Empty, MouseActivator.Types.Undefined);
m_newGestures.Add(gest);
}
}
MoveToPage(m_currentControl.Next);
}
private void btn_ok_Click(object sender, EventArgs e)
{
if (!m_appMode)
{
m_network = uc_gesture.MyNNetwork;
}
if (modifiedGestures.Length == 1)
{
modifiedGestures[0].SetItem(tempGesture);
modifiedGestures[0].Activator = tempGesture.Activator;
modifiedGestures[0].Action = tempGesture.Action;
if (modifiedGestures[0].IsImplicitOnly)
{
modifiedGestures[0].ExecutionType = ExecuteType.Implicit;
}
if (!m_appMode)
{
modifiedGestures[0].ItemPos = -1;
}
}
else
{
foreach (MyGesture gest in modifiedGestures)
{
gest.Activator = tempGesture.Activator;
gest.ItemPos = -1;
}
}
}
private List <Neuron> CrossingGenomes(MyNeuralNetwork _choosenOne, MyNeuralNetwork _choosenTwo)
{
// Do a deepcopy. If not, referecnce will be use and change the _choosenOne neurons which converge
List <Neuron> neurons = _choosenOne.Neurons.Select(neuron => new Neuron(neuron)).ToList();
this.DebugCrossing(" Tre", neurons);
for (int i = 0; i < neurons.Count; i++)
{
for (int j = 0; j < neurons.ElementAt(i).Weights.Count; j++)
{
// Mutation change
if (this.rand.NextDouble() >= GeneticConfig.MUTATION_PERCENT)
{
double cache = neurons.ElementAt(i).Weights[j];
neurons.ElementAt(i).Weights[j] = this.GetWeight(this.rand.NextDouble());
Console.WriteLine("Mution on neurone ==> Weight : " + j + " : " + cache + " ===> " + neurons.ElementAt(i).Weights[j]);
}
else
{
// 50% chance to get gene from one or the other
if (this.rand.NextDouble() < 0.5)
{
neurons.ElementAt(i).Weights[j] = _choosenTwo.Neurons.ElementAt(i).Weights[j];
}
}
}
}
return(neurons);
}
private void SetFromRecognizedGesture()
{
//m_network.StopLearning();
m_network = new MyNeuralNetwork(m_networkBackup);
m_shortCurve = false;
m_tempGesture.Activator = new MouseActivator(m_recognizedCurve);
OnCanContinue(true);
}
private void SetNewGesture()
{
if (m_newCurveUsed)
{
m_networkTrained.StopLearning();
m_networkTrained = new MyNeuralNetwork(m_networkBackup);
m_networkTrained.LearnNewCurve(m_newCurve);
m_newCurveUsed = false;
}
m_network = m_networkTrained;
//tB_newName.Enabled = true;
m_tempGesture.Activator = new MouseActivator(m_newCurve);
SetCurveCaption();
}
private void button_next_Click(object sender, EventArgs e)
{
if (btn_next.DialogResult == DialogResult.OK)
{
if (!m_appMode)
{
m_network = uc_gesture.MyNNetwork;
foreach (MyGesture group in uc_actions.NewGroups)
m_newGestures.Add(group);
foreach (MyGesture group in uc_actions.SelectedGroups)
{
string id = MyGesture.CreateUniqueId(m_tempGesture, m_gestures);
MyGesture gest = new MyGesture(id);
gest.SetItem(m_tempGesture);
gest.Activator = m_tempGesture.Activator;
gest.Action = m_tempGesture.Action;
gest.AppGroup = group;
m_newGestures.Add(gest);
m_gestures.Add(gest);
}
}
else
{
string id = MyGesture.CreateUniqueId(m_tempGesture, m_gestures);
MyGesture gest = new MyGesture(id);
gest.SetItem(m_tempGesture);
gest.Action = m_tempGesture.Action;
gest.Activator = new MouseActivator(string.Empty, MouseActivator.Types.Undefined);
m_newGestures.Add(gest);
}
}
MoveToPage(m_currentControl.Next);
}
private void btn_ok_Click(object sender, EventArgs e)
{
if (!m_appMode)
m_network = uc_gesture.MyNNetwork;
if (modifiedGestures.Length == 1)
{
modifiedGestures[0].SetItem(tempGesture);
modifiedGestures[0].Activator = tempGesture.Activator;
modifiedGestures[0].Action = tempGesture.Action;
if (modifiedGestures[0].IsImplicitOnly)
modifiedGestures[0].ExecutionType = ExecuteType.Implicit;
if (!m_appMode)
modifiedGestures[0].ItemPos = -1;
}
else
{
foreach (MyGesture gest in modifiedGestures)
{
gest.Activator = tempGesture.Activator;
gest.ItemPos = -1;
}
}
}
public override void Initialize()
{
base.Initialize();
if (m_gesturesCollection.GetCurves().Count >= Config.User.NnOutputSize)
m_maximumLimitReached = true;
m_pen = new Pen(Color.Blue, 3);
m_pen.StartCap = System.Drawing.Drawing2D.LineCap.Round;
m_pen.EndCap = System.Drawing.Drawing2D.LineCap.Round;
m_networkBackup = new MyNeuralNetwork(m_network);
m_networkTrained = new MyNeuralNetwork(m_network);
foreach (MyGesture gest in m_gesturesCollection.Gestures)
if (gest.Activator.Type == MouseActivator.Types.ClassicCurve && !imageList1.Images.ContainsKey(gest.Activator.ID))
{
ClassicCurve classicCurve = gest.Activator;
imageList1.Images.Add(gest.Activator.ID, gest.Activator.ExtractIcon(imageList1.ImageSize));
ListViewItem item = new ListViewItem(new string[] { "", classicCurve.Caption }, gest.Activator.ID);
item.Name = gest.Activator.ID;
lv_curvesList.Items.Add(item);
}
if (m_tempGesture.Activator != null && m_tempGesture.Activator.Type == BaseActivator.Types.ClassicCurve)
{
ClassicCurve classicCurve = m_tempGesture.Activator;
m_newCurve = m_tempGesture.Activator;
tB_newName.Text = classicCurve.Caption;
if (lv_curvesList.Items.ContainsKey(m_tempGesture.Activator.ID))
{
//sameCurve = true;
lv_curvesList.Focus();
lv_curvesList.EnsureVisible(lv_curvesList.Items[m_tempGesture.Activator.ID].Index);
lv_curvesList.Items[m_tempGesture.Activator.ID].Selected = true;
rB_newCurve.Enabled = false;
}
else
{
gB_use.Enabled = true;
m_newCurveUsed = false;
m_networkTrained = new MyNeuralNetwork(m_networkOriginal);
rB_newCurve.Checked = true;
//SetNewGesture();
}
}
else
{
rB_newCurve.Enabled = false;
tB_newName.Enabled = false;
tB_newName.Text = "curve_name";
}
gB_alreadyInUse.Text = Translation.GetText("C_CurveG_gB_alreadyInUse");
cH_curve.Text = Translation.GetText("C_CurveG_cH_curve");
cH_name.Text = Translation.GetText("C_CurveG_cH_name");
cH_associatedActions.Text = Translation.GetText("C_Gestures_cH_associatedActions");
cH_group.Text = Translation.GetText("C_Gestures_cH_group");
gB_use.Text = Translation.GetText("C_CurveG_gB_useCurve");
rB_newCurve.Text = Translation.GetText("C_CurveG_rB_newOne");
rB_suggestedCurve.Text = Translation.GetText("C_CurveG_rB_selected");
lbl_name.Text = Translation.GetText("C_CurveG_lbl_name");
}
private void SetFromRecognizedGesture()
{
//m_network.StopLearning();
m_network = new MyNeuralNetwork(m_networkBackup);
m_shortCurve = false;
m_tempGesture.Activator = new MouseActivator(m_recognizedCurve);
OnCanContinue(true);
}
private void SetNewGesture()
{
if (m_newCurveUsed)
{
m_networkTrained.StopLearning();
m_networkTrained = new MyNeuralNetwork(m_networkBackup);
m_networkTrained.LearnNewCurve(m_newCurve);
m_newCurveUsed = false;
}
m_network = m_networkTrained;
//tB_newName.Enabled = true;
m_tempGesture.Activator = new MouseActivator(m_newCurve);
SetCurveCaption();
}
//private double GetOutPointsRatio(string learntCurveName)
//{
// ClassicCurve learntCurve = m_gesturesCollection.GetCurve(learntCurveName);
// if (learntCurve != null)
// {
// Rectangle rect = new Rectangle(0, 0, 20, 20);
// int parts = 5;
// List<PointF> centerLearnPoints = MyCurve.ScaleToCenter(MyCurve.CreateExactPath(learntCurve.Points, 1, 2), rect);
// int centerCount = centerLearnPoints.Count / parts;
// List<PointF> centerPoints = MyCurve.ScaleToCenter(MyCurve.CreateExactPath(m_pathPoints, 1, 2), rect);
// int testCount = centerPoints.Count / parts;
// int outPoints = 0;
// for (int i = 0; i < parts; i++)
// {
// int centerMax = centerCount;
// int testMax =testCount;
// if (i + 1 == parts)
// {
// centerMax = centerLearnPoints.Count - i * centerCount;
// testMax = centerPoints.Count - i * testCount;
// }
// System.Drawing.Drawing2D.GraphicsPath path = new System.Drawing.Drawing2D.GraphicsPath();
// List<PointF> center10 = centerLearnPoints.GetRange(i * centerCount, centerMax);
// path.AddLines(center10.ToArray());
// path.Widen(new Pen(Color.Green, 3));
// List<PointF> test10 = centerPoints.GetRange(i * testCount, testMax);
// foreach (PointF point in test10)
// {
// if (!path.IsVisible(point))
// outPoints++;
// }
// m_gp.DrawPath(new Pen(Brushes.Yellow, 1), path);
// m_gp.DrawLines(new Pen(Brushes.Red, 1), test10.ToArray());
// }
// m_pbDisplay.Invalidate();
// double ratio = outPoints / (double)centerPoints.Count;
// Debug.WriteLine("Ratio of points out of region is: " + ratio);
// return ratio;
// }
// return 1;
//}
#endregion Not in use
public override void Display_MouseUp(object sender, MouseEventArgs e)
{
if (e.Button == MouseButtons.Left && m_pathPoints.Count > 1)
{
m_mouseDown = false;
MyCurve curve = new MyCurve(m_pathPoints, true);
if (m_curveLength > CURVE_MIN_LENGTH)
{
//if (curve != null && curve.Points.Count > 1)
//{
// List<PointF> rotated = MyCurve.RotateCurve(curve.Points, 10);
// m_gp.DrawLines(new Pen(Brushes.Yellow, 2), rotated.ToArray());
// rotated = MyCurve.RotateCurve(curve.Points, -10);
// m_gp.DrawLines(new Pen(Brushes.Pink, 2), rotated.ToArray());
// m_pbDisplay.Invalidate();
//}
//return;
//if (curve != null && curve.Points.Count > 1)
//{
// List<PointF> resized = MyCurve.ResizeCurve(curve.Points, 0.25, 0);
// m_gp.DrawLines(new Pen(Brushes.Yellow, 2), resized.ToArray());
// resized = MyCurve.ResizeCurve(curve.Points, -0.25, 0);
// m_gp.DrawLines(new Pen(Brushes.Pink, 2), resized.ToArray());
// m_pbDisplay.Invalidate();
//}
//return;
//m_network.StopLearning();
m_newCurveUsed = true;
m_networkTrained.StopLearning();
m_network = new MyNeuralNetwork(m_networkBackup);
m_shortCurve = false;
double divergence;
string name = m_network.RecognizeCurve(curve.GetScaledInput(), out divergence);
m_tooMuchSimilar = (divergence >= 0 && divergence < MAX_DIVERGENCE);
if (name != string.Empty)
{
if (m_tooMuchSimilar)
m_newCurve = m_gesturesCollection.GetCurve(name);
else
m_newCurve = new ClassicCurve(m_pathPoints, m_gesturesCollection);
rB_newCurve.Enabled = !m_tooMuchSimilar;
lv_curvesList.Focus();
lv_curvesList.EnsureVisible(lv_curvesList.Items[name].Index);
if (!lv_curvesList.Items[name].Selected)
lv_curvesList.Items[name].Selected = true;
else
{
if (!rB_suggestedCurve.Checked) rB_suggestedCurve.Checked = true;
else
{
lv_curvesList.Items[name].Selected = false;
lv_curvesList.Items[name].Selected = true;
//panel_curveDraw.Refresh();
}
}
}
else
{
m_newCurve = new ClassicCurve(m_pathPoints, m_gesturesCollection);
rB_newCurve.Enabled = true;
if (!rB_newCurve.Checked) rB_newCurve.Checked = true;
else
{
Debug.WriteLine("Drawing - MouseUp (new gesture)");
m_newCurve.DrawToPictureBox(m_pbDisplay);
SetNewGesture();
}
}
OnCanContinue(true);
SetInfoValues();
}
else
{
m_newCurve = null;
m_shortCurve = true;
//Debug.WriteLine("Drawing - MouseUp (short gesture)");
m_gp = Graphics.FromImage(m_pbDisplay.Image);
m_gp.FillRectangle(Brushes.White, 0, 0, m_pbDisplay.Width, m_pbDisplay.Height);
m_pbDisplay.Invalidate();
m_pbDisplay.Focus();
rB_newCurve.Enabled = false;
OnCanContinue(false);
SetInfoValues();
}
m_gp.Dispose();
}
}
public override void Initialize()
{
base.Initialize();
if (m_gesturesCollection.GetCurves().Count >= Config.User.NnOutputSize)
{
m_maximumLimitReached = true;
}
m_pen = new Pen(Color.Blue, 3);
m_pen.StartCap = System.Drawing.Drawing2D.LineCap.Round;
m_pen.EndCap = System.Drawing.Drawing2D.LineCap.Round;
m_networkBackup = new MyNeuralNetwork(m_network);
m_networkTrained = new MyNeuralNetwork(m_network);
foreach (MyGesture gest in m_gesturesCollection.Gestures)
{
if (gest.Activator.Type == MouseActivator.Types.ClassicCurve && !imageList1.Images.ContainsKey(gest.Activator.ID))
{
ClassicCurve classicCurve = gest.Activator;
imageList1.Images.Add(gest.Activator.ID, gest.Activator.ExtractIcon(imageList1.ImageSize));
ListViewItem item = new ListViewItem(new string[] { "", classicCurve.Caption }, gest.Activator.ID);
item.Name = gest.Activator.ID;
lv_curvesList.Items.Add(item);
}
}
if (m_tempGesture.Activator != null && m_tempGesture.Activator.Type == BaseActivator.Types.ClassicCurve)
{
ClassicCurve classicCurve = m_tempGesture.Activator;
m_newCurve = m_tempGesture.Activator;
tB_newName.Text = classicCurve.Caption;
if (lv_curvesList.Items.ContainsKey(m_tempGesture.Activator.ID))
{
//sameCurve = true;
lv_curvesList.Focus();
lv_curvesList.EnsureVisible(lv_curvesList.Items[m_tempGesture.Activator.ID].Index);
lv_curvesList.Items[m_tempGesture.Activator.ID].Selected = true;
rB_newCurve.Enabled = false;
}
else
{
gB_use.Enabled = true;
m_newCurveUsed = false;
m_networkTrained = new MyNeuralNetwork(m_networkOriginal);
rB_newCurve.Checked = true;
//SetNewGesture();
}
}
else
{
rB_newCurve.Enabled = false;
tB_newName.Enabled = false;
tB_newName.Text = "curve_name";
}
gB_alreadyInUse.Text = Translation.GetText("C_CurveG_gB_alreadyInUse");
cH_curve.Text = Translation.GetText("C_CurveG_cH_curve");
cH_name.Text = Translation.GetText("C_CurveG_cH_name");
cH_associatedActions.Text = Translation.GetText("C_Gestures_cH_associatedActions");
cH_group.Text = Translation.GetText("C_Gestures_cH_group");
gB_use.Text = Translation.GetText("C_CurveG_gB_useCurve");
rB_newCurve.Text = Translation.GetText("C_CurveG_rB_newOne");
rB_suggestedCurve.Text = Translation.GetText("C_CurveG_rB_selected");
lbl_name.Text = Translation.GetText("C_CurveG_lbl_name");
}
//private double GetOutPointsRatio(string learntCurveName)
//{
// ClassicCurve learntCurve = m_gesturesCollection.GetCurve(learntCurveName);
// if (learntCurve != null)
// {
// Rectangle rect = new Rectangle(0, 0, 20, 20);
// int parts = 5;
// List<PointF> centerLearnPoints = MyCurve.ScaleToCenter(MyCurve.CreateExactPath(learntCurve.Points, 1, 2), rect);
// int centerCount = centerLearnPoints.Count / parts;
// List<PointF> centerPoints = MyCurve.ScaleToCenter(MyCurve.CreateExactPath(m_pathPoints, 1, 2), rect);
// int testCount = centerPoints.Count / parts;
// int outPoints = 0;
// for (int i = 0; i < parts; i++)
// {
// int centerMax = centerCount;
// int testMax =testCount;
// if (i + 1 == parts)
// {
// centerMax = centerLearnPoints.Count - i * centerCount;
// testMax = centerPoints.Count - i * testCount;
// }
// System.Drawing.Drawing2D.GraphicsPath path = new System.Drawing.Drawing2D.GraphicsPath();
// List<PointF> center10 = centerLearnPoints.GetRange(i * centerCount, centerMax);
// path.AddLines(center10.ToArray());
// path.Widen(new Pen(Color.Green, 3));
// List<PointF> test10 = centerPoints.GetRange(i * testCount, testMax);
// foreach (PointF point in test10)
// {
// if (!path.IsVisible(point))
// outPoints++;
// }
// m_gp.DrawPath(new Pen(Brushes.Yellow, 1), path);
// m_gp.DrawLines(new Pen(Brushes.Red, 1), test10.ToArray());
// }
// m_pbDisplay.Invalidate();
// double ratio = outPoints / (double)centerPoints.Count;
// Debug.WriteLine("Ratio of points out of region is: " + ratio);
// return ratio;
// }
// return 1;
//}
#endregion Not in use
public override void Display_MouseUp(object sender, MouseEventArgs e)
{
if (e.Button == MouseButtons.Left && m_pathPoints.Count > 1)
{
m_mouseDown = false;
MyCurve curve = new MyCurve(m_pathPoints, true);
if (m_curveLength > CURVE_MIN_LENGTH)
{
//if (curve != null && curve.Points.Count > 1)
//{
// List<PointF> rotated = MyCurve.RotateCurve(curve.Points, 10);
// m_gp.DrawLines(new Pen(Brushes.Yellow, 2), rotated.ToArray());
// rotated = MyCurve.RotateCurve(curve.Points, -10);
// m_gp.DrawLines(new Pen(Brushes.Pink, 2), rotated.ToArray());
// m_pbDisplay.Invalidate();
//}
//return;
//if (curve != null && curve.Points.Count > 1)
//{
// List<PointF> resized = MyCurve.ResizeCurve(curve.Points, 0.25, 0);
// m_gp.DrawLines(new Pen(Brushes.Yellow, 2), resized.ToArray());
// resized = MyCurve.ResizeCurve(curve.Points, -0.25, 0);
// m_gp.DrawLines(new Pen(Brushes.Pink, 2), resized.ToArray());
// m_pbDisplay.Invalidate();
//}
//return;
//m_network.StopLearning();
m_newCurveUsed = true;
m_networkTrained.StopLearning();
m_network = new MyNeuralNetwork(m_networkBackup);
m_shortCurve = false;
double divergence;
string name = m_network.RecognizeCurve(curve.GetScaledInput(), out divergence);
m_tooMuchSimilar = (divergence >= 0 && divergence < MAX_DIVERGENCE);
if (name != string.Empty)
{
if (m_tooMuchSimilar)
{
m_newCurve = m_gesturesCollection.GetCurve(name);
}
else
{
m_newCurve = new ClassicCurve(m_pathPoints, m_gesturesCollection);
}
rB_newCurve.Enabled = !m_tooMuchSimilar;
lv_curvesList.Focus();
lv_curvesList.EnsureVisible(lv_curvesList.Items[name].Index);
if (!lv_curvesList.Items[name].Selected)
{
lv_curvesList.Items[name].Selected = true;
}
else
{
if (!rB_suggestedCurve.Checked)
{
rB_suggestedCurve.Checked = true;
}
else
{
lv_curvesList.Items[name].Selected = false;
lv_curvesList.Items[name].Selected = true;
//panel_curveDraw.Refresh();
}
}
}
else
{
m_newCurve = new ClassicCurve(m_pathPoints, m_gesturesCollection);
rB_newCurve.Enabled = true;
if (!rB_newCurve.Checked)
{
rB_newCurve.Checked = true;
}
else
{
Debug.WriteLine("Drawing - MouseUp (new gesture)");
m_newCurve.DrawToPictureBox(m_pbDisplay);
SetNewGesture();
}
}
OnCanContinue(true);
SetInfoValues();
}
else
{
m_newCurve = null;
m_shortCurve = true;
//Debug.WriteLine("Drawing - MouseUp (short gesture)");
m_gp = Graphics.FromImage(m_pbDisplay.Image);
m_gp.FillRectangle(Brushes.White, 0, 0, m_pbDisplay.Width, m_pbDisplay.Height);
m_pbDisplay.Invalidate();
m_pbDisplay.Focus();
rB_newCurve.Enabled = false;
OnCanContinue(false);
SetInfoValues();
}
m_gp.Dispose();
}
}
