/// <summary>
/// Change tree depth
/// </summary>
/// <param name="depth"></param>
/// <param name="method"></param>
private void ChangeDepth(int depth, AnswerSheetAnalyzer.ClassificationFeature method)
{
this.answerGroupDataList.Clear();
List<AnswerSheetGroup> ansGroupList = null;
switch (method)
{
case AnswerSheetAnalyzer.ClassificationFeature.Proposed:
ansGroupList = this.analyzer.HierarchicalResult.GetGroupedAnswerSheets(depth);
break;
case AnswerSheetAnalyzer.ClassificationFeature.AnswerTime:
ansGroupList = this.analyzer.HierarchicalResultAnswerTime.GetGroupedAnswerSheets(depth);
break;
}
foreach (AnswerSheetGroup g in ansGroupList)
{
this.answerGroupDataList.Add(new AnswerGroupItemData(g, this.visualizer, this));
}
// sort group by average answer time
this.answerGroupDataList = new ObservableCollection<AnswerGroupItemData>(this.answerGroupDataList.OrderBy(n => n.AnswerGroupData.GetAverageAnswerTime()));
this.GroupedAnswerSheetControl.ItemsSource = this.answerGroupDataList;
this.cbDepth.SelectedIndex = depth;
// show answer time heatmap
SetAnswerTimeHeatmap();
}
public MainWindow()
{
InitializeComponent();
this.analyzer = new AnswerSheetAnalyzer();
this.visualizer = new AnswerSheetVisualizer(analyzer);
}
/// <summary>
/// Initialization with the result
/// </summary>
/// <param name="analysis"></param>
/// <param name="c"></param>
public AnswerGroupWindow(AnswerSheetAnalyzer a, AnswerSheetVisualizer v)
: this()
{
this.analyzer = a;
this.visualizer = v;
this.currentMethod = AnswerSheetAnalyzer.ClassificationFeature.Proposed;
ChangeMethod(this.currentMethod);
}
/// <summary>
/// Initialization with analyzer
/// </summary>
/// <param name="analysis"></param>
public StrokeComparisonWindow(AnswerSheetAnalyzer a)
: this()
{
this.analyzer = a;
List<StrokeComparisonResult> results = this.analyzer.GetVisualizedStrokeComparisonExamples();
foreach (StrokeComparisonResult res in results)
{
StrokeComparisonItemData item = new StrokeComparisonItemData();
// draw stroke
double scale = 0.0;
Rect s1bb = res.Stroke1.BoundingBox;
Rect s2bb = res.Stroke2.BoundingBox;
double maxSize = (new double[] { s1bb.Width, s1bb.Height, s2bb.Width, s2bb.Height }).Max();
scale = Config.OutputStrokeCanvasSize / maxSize;
Point s1offset = new Point((Config.OutputStrokeCanvasSize / scale - s1bb.Width) / 2.0, (Config.OutputStrokeCanvasSize / scale - s1bb.Height) / 2.0);
Point s2offset = new Point((Config.OutputStrokeCanvasSize / scale - s2bb.Width) / 2.0, (Config.OutputStrokeCanvasSize / scale - s2bb.Height) / 2.0);
item.Strokes1.Add(res.Stroke1.GetStrokeObject(scale: scale, offset: s1offset, isOrigin: true));
item.Strokes2.Add(res.Stroke2.GetStrokeObject(scale: scale, offset: s2offset, isOrigin: true));
// draw sampled coordinates
item.ResultCanvasCollection = new ObservableCollection<UIElement>();
Stroke ss1 = res.SampledStroke1.GetStrokeObject(scale: scale, offset: s1offset, isOrigin: true);
Stroke ss2 = res.SampledStroke2.GetStrokeObject(scale: scale, offset: s2offset, isOrigin: true);
foreach (StylusPoint p in ss1.StylusPoints)
{
Ellipse e = new Ellipse();
e.StrokeThickness = 0.0;
e.Fill = Brushes.Blue;
e.Width = 5.0;
e.Height = 5.0;
Canvas.SetLeft(e, p.X - (e.Width / 2.0));
Canvas.SetTop(e, p.Y - (e.Height / 2.0));
item.ResultCanvasCollection.Add(e);
}
foreach (StylusPoint p in ss2.StylusPoints)
{
Ellipse e = new Ellipse();
e.StrokeThickness = 0.0;
e.Fill = Brushes.Blue;
e.Width = 5.0;
e.Height = 5.0;
Canvas.SetLeft(e, p.X - (e.Width / 2.0) + Config.OutputStrokeCanvasSize);
Canvas.SetTop(e, p.Y - (e.Height / 2.0));
item.ResultCanvasCollection.Add(e);
}
// visualize matching results
for (int i = 0, ilen = res.Results.MatchingList.Count; i < ilen; i++)
{
List<int[]> matchings = res.Results.MatchingList;
if (matchings[i][0] != -1 && matchings[i][1] != -1)
{
// draw matching connector
Line l = new Line();
l.Stroke = Brushes.Red;
l.StrokeThickness = 1;
l.X1 = ss1.StylusPoints[matchings[i][0]].X;
l.Y1 = ss1.StylusPoints[matchings[i][0]].Y;
l.X2 = ss2.StylusPoints[matchings[i][1]].X + Config.OutputStrokeCanvasSize;
l.Y2 = ss2.StylusPoints[matchings[i][1]].Y;
l.HorizontalAlignment = HorizontalAlignment.Left;
l.VerticalAlignment = VerticalAlignment.Center;
item.ResultCanvasCollection.Add(l);
}
}
// similarity score
item.DistanceScore = res.Results.Distance;
ContentControl totalDistanceContent = new ContentControl();
Canvas.SetLeft(totalDistanceContent, 0.0);
Canvas.SetTop(totalDistanceContent, 0.0);
TextBlock txtBlock = new TextBlock();
txtBlock.Text = res.Results.Distance.ToString("F2");
txtBlock.Foreground = Brushes.Red;
txtBlock.FontSize = 16;
totalDistanceContent.Content = txtBlock;
item.ResultCanvasCollection.Add(totalDistanceContent);
this.StrokeComparisonDataList.Add(item);
}
// sort by score
this.StrokeComparisonDataList = new ObservableCollection<StrokeComparisonItemData>(this.StrokeComparisonDataList.OrderBy(n => n.DistanceScore));
this.StrokeComparisonsControl.ItemsSource = this.StrokeComparisonDataList;
}
/// <summary>
/// Initialization with analyer
/// </summary>
/// <param name="analysis"></param>
public StepComparisonWindow(AnswerSheetAnalyzer a)
: this()
{
this.analyzer = a;
List<StepComparisonResult> results = this.analyzer.GetVisualizedStepComparisonExamples();
foreach (StepComparisonResult res in results)
{
StepComparisonitemData item = new StepComparisonitemData();
// draw stroke
double scale1 = Config.OutputStepCanvasHeight / res.Step1.GetBounds().Height;
double scale2 = Config.OutputStepCanvasHeight / res.Step2.GetBounds().Height;
List<Stroke> strokes1 = res.Step1.GetStrokeObjects(scale: scale1, isOrigin: true, sort: true);
List<Stroke> strokes2 = res.Step2.GetStrokeObjects(scale: scale2, isOrigin: true, sort: true);
item.Strokes1.Add(new StrokeCollection(strokes1));
item.Strokes2.Add(new StrokeCollection(strokes2));
// draw coordinates
foreach (Stroke s in strokes1)
{
Ellipse e = new Ellipse();
e.StrokeThickness = 0.0;
e.Fill = Brushes.Blue;
e.Width = 5.0;
e.Height = 5.0;
Canvas.SetLeft(e, s.StylusPoints[0].X - (e.Width / 2.0));
Canvas.SetTop(e, s.StylusPoints[0].Y - (e.Height / 2.0));
item.ResultCanvasCollection.Add(e);
}
foreach (Stroke s in strokes2)
{
Ellipse e = new Ellipse();
e.StrokeThickness = 0.0;
e.Fill = Brushes.Blue;
e.Width = 5.0;
e.Height = 5.0;
Canvas.SetLeft(e, s.StylusPoints[0].X - (e.Width / 2.0));
Canvas.SetTop(e, s.StylusPoints[0].Y + Config.OutputStepCanvasHeight - (e.Height / 2.0));
item.ResultCanvasCollection.Add(e);
}
// visualize matching results
for (int i = 0, ilen = res.Results.MatchingList.Count; i < ilen; i++)
{
List<int[]> matchings = res.Results.MatchingList;
if (matchings[i][0] != -1 && matchings[i][1] != -1)
{
// draw matching connector
Line l = new Line();
l.Stroke = Brushes.Red;
l.StrokeThickness = 1;
l.X1 = strokes1[matchings[i][0]].StylusPoints[0].X;
l.Y1 = strokes1[matchings[i][0]].StylusPoints[0].Y;
l.X2 = strokes2[matchings[i][1]].StylusPoints[0].X;
l.Y2 = strokes2[matchings[i][1]].StylusPoints[0].Y + Config.OutputStepCanvasHeight;
l.HorizontalAlignment = System.Windows.HorizontalAlignment.Left;
l.VerticalAlignment = System.Windows.VerticalAlignment.Center;
item.ResultCanvasCollection.Add(l);
}
}
// similarity score
item.DistanceScore = res.Results.Distance;
ContentControl totalDistanceContent = new ContentControl();
Canvas.SetLeft(totalDistanceContent, 800.0);
Canvas.SetTop(totalDistanceContent, 0.0);
TextBlock txtBlock = new TextBlock();
txtBlock.Text = res.Results.Distance.ToString("F2");
txtBlock.Foreground = Brushes.Red;
txtBlock.FontSize = 18;
totalDistanceContent.Content = txtBlock;
item.ResultCanvasCollection.Add(totalDistanceContent);
this.StepComparisonDataList.Add(item);
}
// sort by score
this.StepComparisonDataList = new ObservableCollection<StepComparisonitemData>(this.StepComparisonDataList.OrderBy(n => n.DistanceScore));
this.StepComparisonControl.ItemsSource = this.StepComparisonDataList;
}
public AnswerSheetVisualizer(AnswerSheetAnalyzer a)
{
this.analyzer = a;
}
/// <summary>
/// Change clustering method
/// </summary>
/// <param name="method"></param>
private void ChangeMethod(AnswerSheetAnalyzer.ClassificationFeature method)
{
if (this.cbDepth == null)
{
return;
}
this.cbDepth.Items.Clear();
for (int i = 0, ilen = this.analyzer.GetClusterTreeHeight(method); i <= ilen; i++)
{
this.cbDepth.Items.Add(i.ToString());
}
switch (method)
{
case AnswerSheetAnalyzer.ClassificationFeature.Proposed:
ChangeDepth(this.analyzer.HierarchicalResult.GetOptimalTreeDepth(), this.currentMethod);
break;
case AnswerSheetAnalyzer.ClassificationFeature.AnswerTime:
ChangeDepth(this.analyzer.HierarchicalResultAnswerTime.GetOptimalTreeDepth(), this.currentMethod);
break;
}
}