private static Image DrawSonogram(BaseSonogram sonogram, double[,] hits, List <Plot> scores, List <Track> tracks)
{
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage());
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
if (scores != null)
{
foreach (Plot plot in scores)
{
// assumes data normalized in 0,1
image.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title));
}
}
if (tracks != null)
{
image.AddTracks(tracks, sonogram.FramesPerSecond, sonogram.FBinWidth);
}
if (hits != null)
{
image.OverlayRedMatrix(hits, 1.0);
}
return(image.GetImage());
}
}//end DetectGratingEvents()
static Image DrawSonogram(BaseSonogram sonogram, double[,] hits, double[] scores, List <AcousticEvent> predictedEvents, double eventThreshold)
{
//Log.WriteLine("# Start to draw image of sonogram.");
bool doHighlightSubband = false; bool add1kHzLines = true;
double maxScore = 32.0; //assume max period = 64.
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband, add1kHzLines));
//System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines);
//img.Save(@"C:\SensorNetworks\temp\testimage1.png", System.Drawing.Imaging.ImageFormat.Png);
//Image_MultiTrack image = new Image_MultiTrack(img);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
if (scores != null)
{
image.AddTrack(ImageTrack.GetScoreTrack(scores, 0.0, 1.0, eventThreshold));
}
if (hits != null)
{
image.OverlayRedMatrix(hits, maxScore);
}
if (predictedEvents.Count > 0)
{
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(image.GetImage());
} //DrawSonogram()
} // CreateScorePlots()
static Image DrawSonogram(BaseSonogram sonogram, double[,] hits, List <Plot> plots, List <AcousticEvent> predictedEvents)
{
bool doHighlightSubband = false; bool add1kHzLines = false;
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband, add1kHzLines));
//System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines);
//img.Save(@"C:\SensorNetworks\temp\testimage1.png", System.Drawing.Imaging.ImageFormat.Png);
//Image_MultiTrack image = new Image_MultiTrack(img);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
if (plots != null)
{
foreach (Plot plot in plots)
{
image.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title));
}
}
//if (hits != null) image.OverlayRedTransparency(hits);
if (hits != null)
{
image.OverlayRedMatrix(hits, 1.0);
}
if (predictedEvents.Count > 0)
{
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(image.GetImage());
} //DrawSonogram()
/// <summary>
/// draw the spectrogram with red marks indicating the local spectral peaks.
/// </summary>
public static Image DrawSonogram(BaseSonogram sonogram, double[,] hits)
{
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage());
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
if (hits != null)
{
image.OverlayRedMatrix(hits, 1.0);
}
return(image.GetImage());
}
/// <summary>
/// draw the spectrogram with spectral tracks.
/// </summary>
public static Image DrawTracks(BaseSonogram sonogram, double[,] hits, List <SpectralTrack> tracks)
{
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage());
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
if (tracks != null)
{
image.AddTracks(tracks, sonogram.FramesPerSecond, sonogram.FBinWidth);
}
if (hits != null)
{
image.OverlayRedMatrix(hits, 1.0);
}
return(image.GetImage());
}
