public SequenceAnalysisViewModel()
{
MovementPlotModel = PlotModelHelper.CreateScatterPlot();
DiameterPlotModel = PlotModelHelper.CreateScatterPlot();
OpenSequenceCommand = new DelegateCommand(OpenSequenceHandler);
HotZoneRadius = 1500;
}
public void OnDialogOpened(IDialogParameters parameters)
{
PatternA = JsonSerializer.Deserialize <List <Point> >(parameters.GetValue <string>("patternA"));
PatternB = JsonSerializer.Deserialize <List <Point> >(parameters.GetValue <string>("patternB"));
var distance = Histogram.Distance(PatternA, PatternB);
var histoSet = Histogram.CreateBins(distance, 50);
PulseTableA = GetWrongPulses(PatternA, distance, 500);
PulseTableB = GetWrongPulses(PatternB, distance, 500);
HistoTable = histoSet.ToObservableCollection();
PlotModelPatternA.Series.Add(GenerateScatterSeries(PatternA, distance));
PlotModelPatternB.Series.Add(GenerateScatterSeries(PatternB, distance));
PlotModelPatternA.InvalidatePlot(true);
PlotModelPatternB.InvalidatePlot(true);
PlotModelHisto.Series.Clear();
PlotModelHisto.Series.Add(PlotModelHelper.CreateBarSeries(ConvertToDataPoint(histoSet)));
PlotModelHisto.Axes.Add(new CategoryAxis {
Position = AxisPosition.Bottom, Key = "y", Angle = 90, ItemsSource = histoSet, LabelField = "X"
});
PlotModelHisto.Axes.Add(new LinearAxis {
Position = AxisPosition.Left, MinimumPadding = 0, MaximumPadding = 0.06, AbsoluteMinimum = 0, Key = "x"
});
PlotModelHisto.InvalidatePlot(true);
}
private void UpdatePatternHandler()
{
Shape.Generate();
PlotModel.Series.Clear();
PlotModel.Series.Add(PlotModelHelper.CreateScatterSerie(Shape.Points.ToList()));
PlotModel.InvalidatePlot(true);
}
public PatternCompareDialogViewModel()
{
CloseDialogCommand = new DelegateCommand(CloseDialog);
PlotModelPatternA = PlotModelHelper.CreateScatterPlotInvX();
PlotModelPatternB = PlotModelHelper.CreateScatterPlotInvX();
PlotModelHisto = PlotModelHelper.CreateHistogramm();
}
private void Recalculate(double mean, double stdDev)
{
Task.Run(() =>
{
Accord.Statistics.Distributions.Univariate.NormalDistribution normalDistribution = new Accord.Statistics.Distributions.Univariate.NormalDistribution(mean, stdDev);
var limit = Math.Abs(normalDistribution.Mean + 2 * normalDistribution.StandardDeviation);
DoubleRange range = new Accord.DoubleRange(-limit, limit);
double[] x = Accord.Math.Vector.Range(-limit, limit, 0.1);
double[] y = x.Apply(normalDistribution.ProbabilityDensityFunction);
return(PlotModelHelper.Create(range, "", x, y, false));
}).ContinueWith(a => this.Dispatcher.InvokeAsync(async() => PlotModel = await a, System.Windows.Threading.DispatcherPriority.Background));
}
private void OpenDataSetHandler()
{
OpenFileDialog openFileDialog = new OpenFileDialog();
if (openFileDialog.ShowDialog() == true)
{
PatternList.Add(new Pattern(openFileDialog.FileName));
var series = PlotModelHelper.CreateScatterSerie(PatternList.Last().Points, PatternList.Last().Color);
PlotModelPattern.Series.Add(series);
PlotModelPattern.InvalidatePlot(true);
}
}
private void TransformMatrixHandler()
{
CalibMatrix = AffineMatrix.CalculateMatrix(SelectedA, SelectedB);
DecomposeMatrix = AffineMatrix.Decompose(CalibMatrix);
PatternList.Add(new Pattern("None"));
PatternList.Last().Points = AffineMatrix.CalculateBack(SelectedA.Points, CalibMatrix);
var series = PlotModelHelper.CreateScatterSerie(PatternList.Last().Points, PatternList.Last().Color);
PlotModelPattern.Series.Add(series);
PlotModelPattern.InvalidatePlot(true);
}
public PatternAnalysisViewModel(IEventAggregator eventAggregator, IDialogService dialogService)
{
_dialogService = dialogService;
_eventAggregator = eventAggregator;
PlotModelPattern = PlotModelHelper.CreateScatterPlotInvX();
PatternList = new ObservableCollection <IPattern>();
OpenDataSetCommand = new DelegateCommand(OpenDataSetHandler);
TransformMatrixCommand = new DelegateCommand(TransformMatrixHandler);
SendCommand = new DelegateCommand(SendHandler);
CompareCommand = new DelegateCommand(CompareHandler);
DeleteCommand = new DelegateCommand <int?>(DeleteHandler);
MovementCommand = new DelegateCommand(MovementHandler);
}
public void OnDialogOpened(IDialogParameters parameters)
{
var refPattern = JsonSerializer.Deserialize <List <Point> >(parameters.GetValue <string>("patternA"));
var movePattern = JsonSerializer.Deserialize <List <Point> >(parameters.GetValue <string>("patternB"));
var centers = new List <Point>();
for (var i = 1; i < refPattern.Count; i++)
{
centers.Add((Point)(refPattern[i] - movePattern[i]));
}
PlotModelPatternA.Series.Add(PlotModelHelper.CreateScatterSerie(centers));
PlotModelPatternA.Series.Add(PlotModelHelper.CreateHotZone(centers[0], 1500, OxyColors.Red));
PlotModelPatternA.InvalidatePlot(true);
}
private void OpenSequenceHandler()
{
var openFolder = new CommonOpenFileDialog
{
AllowNonFileSystemItems = true,
Multiselect = true,
IsFolderPicker = true,
Title = "Select folders with a sequence"
};
if (openFolder.ShowDialog() != CommonFileDialogResult.Ok)
{
MessageBox.Show("No Folder selected");
return;
}
// get all the directories in selected dirctory
var dir = openFolder.FileName;
SeqFolderName = dir.Split("\\").Last();
List <Frame> frames = new List <Frame>();
foreach (string fileName in Directory.GetFiles(dir, "*.json"))
{
var jsonString = File.ReadAllText(fileName);
var frame = JsonSerializer.Deserialize <Frame>(jsonString);
frames.Add(frame);
}
var Centers = frames.Where(frame => frame.HasCorrespondingImage == true).Select(frame => new Point(frame.Limbus.X, frame.Limbus.Y)).ToList <Point>();
var Sizes = frames.Where(frame => frame.HasCorrespondingImage == true).Select(frame => new Point(frame.Limbus.Height, frame.Limbus.Width)).ToList <Point>();
var test = frames.Where(frame => frame.HasCorrespondingImage == true).Select(frame => frame).Min(frame => frame.Limbus.X);
MovementPlotModel.Series.Clear();
MovementPlotModel.Series.Add(PlotModelHelper.CreateScatterSerie(Centers));
MovementPlotModel.Series.Add(PlotModelHelper.CreateHotZone(Centers[0], HotZoneRadius, OxyColors.Red));
MovementPlotModel.InvalidatePlot(true);
DiameterPlotModel.Series.Clear();
DiameterPlotModel.Series.Add(PlotModelHelper.CreateScatterSerie(Sizes));
DiameterPlotModel.Series.Add(PlotModelHelper.CreateHotZone(Sizes[0], HotZoneRadius / 3, OxyColors.Blue));
DiameterPlotModel.InvalidatePlot(true);
}
public PatternGeneratorViewModel()
{
PlotModel = PlotModelHelper.CreateScatterPlotInvX();
ShapeList = new List <IShape>
{
new Circle(),
new Spiral(),
new DotMatrix(),
new Cross()
};
Shape = ShapeList.First();
UpdatePatternHandler();
RepeatValue = 10;
SpotDistributionTypes = SpotDistributionTypes.Random;
UpdatePatternCommand = new DelegateCommand(UpdatePatternHandler);
SaveFileCommand = new DelegateCommand(SaveFileHandler);
}
private static ScatterSeries GenerateScatterSeries(List <Point> points, List <double> dist)
{
var series = PlotModelHelper.CreateScatterSerie(points, dist);
return(series);
}
public MovementDialogViewModel()
{
CloseDialogCommand = new DelegateCommand(CloseDialog);
PlotModelPatternA = PlotModelHelper.CreateScatterPlotInvX();
}
