private void UpdatePlot()
{
// Create plot values from selected options.
TimeSeriesPlotData xSeries = cbSourceX.SelectedItem as TimeSeriesPlotData;
TimeSeriesPlotData ySeries = cbSourceY.SelectedItem as TimeSeriesPlotData;
if (xSeries == null || ySeries == null || xSeries == ySeries)
{
return;
}
TimeSeriesPlotSpecification spec = cmbDataSource.SelectedItem as TimeSeriesPlotSpecification;
if (spec == null)
{
return;
}
PlotModel model = CreatePlot(xSeries, ySeries, spec.Component, spec.Abbreviation, spec.Label);
plotView.Model = model;
tbTitle.Text = model.Title;
tbXAxis.Text = model.Axes[0].Title;
tbYAxis.Text = model.Axes[1].Title;
}
private void ImportOtherDrawingsData(Metadata metadata)
{
LinearKinematics linearKinematics = new LinearKinematics();
// Trackable drawing's individual points.
foreach (ITrackable trackable in metadata.TrackableDrawings())
{
Dictionary <string, TrackablePoint> trackablePoints = metadata.TrackabilityManager.GetTrackablePoints(trackable);
if (trackablePoints == null)
{
continue;
}
foreach (var pair in trackablePoints)
{
TrackablePoint tp = pair.Value;
Timeline <TrackFrame> timeline = pair.Value.Timeline;
if (timeline.Count == 0)
{
continue;
}
List <TimedPoint> samples = timeline.Enumerate().Select(p => new TimedPoint(p.Location.X, p.Location.Y, p.Time)).ToList();
FilteredTrajectory traj = new FilteredTrajectory();
traj.Initialize(samples, metadata.CalibrationHelper);
TimeSeriesCollection tsc = linearKinematics.BuildKinematics(traj, metadata.CalibrationHelper);
string name = trackable.Name;
Color color = trackable.Color;
// Custom drawings may have dedicated names for their handles.
DrawingGenericPosture dgp = trackable as DrawingGenericPosture;
if (dgp == null)
{
name = name + " - " + pair.Key;
}
else
{
foreach (var handle in dgp.GenericPostureHandles)
{
if (handle.Reference.ToString() != pair.Key)
{
continue;
}
name = name + " - " + (string.IsNullOrEmpty(handle.Name) ? pair.Key : handle.Name);
color = handle.Color == Color.Transparent ? trackable.Color : handle.Color;
break;
}
}
TimeSeriesPlotData data = new TimeSeriesPlotData(name, color, tsc);
timeSeriesData.Add(data);
filteredTrajectories.Add(data, traj);
}
}
}
private void ImportTrackData(Metadata metadata)
{
foreach (DrawingTrack track in metadata.Tracks())
{
TimeSeriesPlotData data = new TimeSeriesPlotData(track.Name, track.MainColor, track.TimeSeriesCollection);
timeSeriesData.Add(data);
filteredTrajectories.Add(data, track.FilteredTrajectory);
}
}
private static void ImportAngleDrawingsData(Metadata metadata, List <TimeSeriesPlotData> timeSeriesData)
{
// Create three filtered trajectories named o, a, b directly based on the trackable points.
foreach (DrawingAngle drawingAngle in metadata.Angles())
{
Dictionary <string, FilteredTrajectory> trajs = new Dictionary <string, FilteredTrajectory>();
Dictionary <string, TrackablePoint> trackablePoints = metadata.TrackabilityManager.GetTrackablePoints(drawingAngle);
bool tracked = true;
foreach (string key in trackablePoints.Keys)
{
Timeline <TrackFrame> timeline = trackablePoints[key].Timeline;
if (timeline.Count == 0)
{
tracked = false;
break;
}
List <TimedPoint> samples = timeline.Enumerate().Select(p => new TimedPoint(p.Location.X, p.Location.Y, p.Time)).ToList();
FilteredTrajectory traj = new FilteredTrajectory();
traj.Initialize(samples, metadata.CalibrationHelper);
trajs.Add(key, traj);
}
if (!tracked)
{
continue;
}
TimeSeriesCollection tsc = angularKinematics.BuildKinematics(trajs, drawingAngle.AngleOptions, metadata.CalibrationHelper);
TimeSeriesPlotData data = new TimeSeriesPlotData(drawingAngle.Name, drawingAngle.Color, tsc);
timeSeriesData.Add(data);
}
}
private PlotModel CreatePlot(TimeSeriesPlotData xSeries, TimeSeriesPlotData ySeries, Kinematics component, string abbreviation, string title)
{
if (xSeries == null || ySeries == null || xSeries == ySeries)
{
return(null);
}
PlotModel model = new PlotModel();
model.PlotType = PlotType.XY;
model.Title = string.Format("{0} v {1} - {2}", xSeries.Label, ySeries.Label, title);
LinearAxis xAxis = new LinearAxis();
xAxis.Position = AxisPosition.Bottom;
xAxis.MajorGridlineStyle = LineStyle.Solid;
xAxis.MinorGridlineStyle = LineStyle.Dot;
xAxis.MinimumPadding = 0.05;
xAxis.MaximumPadding = 0.1;
xAxis.Title = string.Format("{0} {1} ({2})", xSeries.Label, title, abbreviation);
model.Axes.Add(xAxis);
LinearAxis yAxis = new LinearAxis();
yAxis.Position = AxisPosition.Left;
yAxis.MajorGridlineStyle = LineStyle.Solid;
yAxis.MinorGridlineStyle = LineStyle.Dot;
yAxis.MinimumPadding = 0.05;
yAxis.MaximumPadding = 0.1;
yAxis.Title = string.Format("{0} {1} ({2})", ySeries.Label, title, abbreviation);
model.Axes.Add(yAxis);
LineSeries series = new LineSeries();
//series.Title =
//series.Color = OxyColor.;
series.MarkerType = MarkerType.Circle;
series.Smooth = true;
double[] xPoints = xSeries.TimeSeriesCollection[component];
double[] yPoints = ySeries.TimeSeriesCollection[component];
long[] xTimes = xSeries.TimeSeriesCollection.Times;
long[] yTimes = ySeries.TimeSeriesCollection.Times;
// The plot is only defined in the range of common time coordinates.
int xIndex = 0;
int yIndex = 0;
while (xIndex < xTimes.Length && yIndex < yTimes.Length)
{
long xTime = xTimes[xIndex];
long yTime = yTimes[yIndex];
if (xTime < yTime)
{
xIndex++;
continue;
}
else if (yTime < xTime)
{
yIndex++;
continue;
}
else
{
series.Points.Add(new DataPoint(xPoints[xIndex], yPoints[yIndex]));
xIndex++;
yIndex++;
}
}
model.Series.Add(series);
return(model);
}
private static void ImportCustomDrawingsData(Metadata metadata, List <TimeSeriesPlotData> timeSeriesData)
{
// Collect angular trajectories for all the angles in all the custom tools.
foreach (DrawingGenericPosture drawing in metadata.GenericPostures())
{
Dictionary <string, TrackablePoint> trackablePoints = metadata.TrackabilityManager.GetTrackablePoints(drawing);
// First create trajectories for all the trackable points in the drawing.
// This avoids duplicating the filtering operation for points shared by more than one angle.
// Here the trajectories are indexed by the original alias in the custom tool, based on the index.
Dictionary <string, FilteredTrajectory> trajs = new Dictionary <string, FilteredTrajectory>();
bool tracked = true;
foreach (string key in trackablePoints.Keys)
{
Timeline <TrackFrame> timeline = trackablePoints[key].Timeline;
if (timeline.Count == 0)
{
// The point is trackable but doesn't have any timeline data.
// This happens if the user is not tracking that drawing, so we don't need to go further.
tracked = false;
break;
}
List <TimedPoint> samples = timeline.Enumerate().Select(p => new TimedPoint(p.Location.X, p.Location.Y, p.Time)).ToList();
FilteredTrajectory traj = new FilteredTrajectory();
traj.Initialize(samples, metadata.CalibrationHelper);
trajs.Add(key, traj);
}
if (!tracked)
{
continue;
}
// Loop over all angles in this drawing and find the trackable aliases of the points making up the particular angle.
// The final collection of trajectories for each angle should have indices named o, a, b.
foreach (GenericPostureAngle gpa in drawing.GenericPostureAngles)
{
// From integer indices to tracking aliases.
string keyO = gpa.Origin.ToString();
string keyA = gpa.Leg1.ToString();
string keyB = gpa.Leg2.ToString();
// All points in an angle must be trackable as there is currently no way to get the static point coordinate.
if (!trajs.ContainsKey(keyO) || !trajs.ContainsKey(keyA) || !trajs.ContainsKey(keyB))
{
continue;
}
// Remap to oab.
Dictionary <string, FilteredTrajectory> angleTrajs = new Dictionary <string, FilteredTrajectory>();
angleTrajs.Add("o", trajs[keyO]);
angleTrajs.Add("a", trajs[keyA]);
angleTrajs.Add("b", trajs[keyB]);
AngleOptions options = new AngleOptions(gpa.Signed, gpa.CCW, gpa.Supplementary);
TimeSeriesCollection tsc = angularKinematics.BuildKinematics(angleTrajs, options, metadata.CalibrationHelper);
string name = drawing.Name;
if (!string.IsNullOrEmpty(gpa.Name))
{
name = name + " - " + gpa.Name;
}
Color color = gpa.Color == Color.Transparent ? drawing.Color : gpa.Color;
TimeSeriesPlotData data = new TimeSeriesPlotData(name, color, tsc);
timeSeriesData.Add(data);
}
}
}
