} // 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()
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());
}
public static Image DisplayDebugImage(BaseSonogram sonogram, List <AcousticEvent> events, List <Plot> scores, double[,] hits)
{
bool doHighlightSubband = false;
bool add1kHzLines = true;
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband, add1kHzLines, doMelScale: false));
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
if (scores != null)
{
foreach (Plot plot in scores)
{
image.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title)); //assumes data normalised in 0,1
}
}
if (hits != null)
{
image.OverlayRainbowTransparency(hits);
}
if (events.Count > 0)
{
foreach (AcousticEvent ev in events) // set colour for the events
{
ev.BorderColour = AcousticEvent.DefaultBorderColor;
ev.ScoreColour = AcousticEvent.DefaultScoreColor;
}
image.AddEvents(events, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(image.GetImage());
}
/// <summary>
/// THis method draws a sonogram with other useful information attached.
/// </summary>
/// <param name="sonogram">of BaseSonogram class.</param>
/// <param name="events">a list of acoustic events.</param>
/// <param name="plots">a list of plots relevant to the spectrogram scores.</param>
/// <param name="hits">not often used - can be null.</param>
public static Image GetSonogramPlusCharts(BaseSonogram sonogram, List <AcousticEvent> events, List <Plot> plots, double[,] hits)
{
var image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband: false, add1KHzLines: true, doMelScale: false));
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
if (plots != null)
{
foreach (var plot in plots)
{
image.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title)); //assumes data normalised in 0,1
}
}
if (hits != null)
{
image.OverlayRainbowTransparency(hits);
}
if (events != null && events.Count > 0)
{
// set colour for the events
foreach (AcousticEvent ev in events)
{
ev.BorderColour = AcousticEvent.DefaultBorderColor;
ev.ScoreColour = AcousticEvent.DefaultScoreColor;
}
image.AddEvents(events, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(image.GetImage());
}
public void WriteDebugImage(string recordingFileName, DirectoryInfo outputDirectory, BaseSonogram sonogram, List <AcousticEvent> events, List <Plot> scores, double[,] hits)
{
//DEBUG IMAGE this recognizer only. MUST set false for deployment.
bool displayDebugImage = MainEntry.InDEBUG;
if (displayDebugImage)
{
bool doHighlightSubband = false;
bool add1kHzLines = true;
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband, add1kHzLines, doMelScale: false));
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
if (scores != null)
{
foreach (Plot plot in scores)
{
image.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title));
}
//assumes data normalised in 0,1
}
if (hits != null)
{
image.OverlayRainbowTransparency(hits);
}
if (events.Count > 0)
{
foreach (AcousticEvent ev in events) // set colour for the events
{
ev.BorderColour = AcousticEvent.DefaultBorderColor;
ev.ScoreColour = AcousticEvent.DefaultScoreColor;
}
image.AddEvents(
events,
sonogram.NyquistFrequency,
sonogram.Configuration.FreqBinCount,
sonogram.FramesPerSecond);
}
var debugImage = image.GetImage();
var debugPath = outputDirectory.Combine(FilenameHelpers.AnalysisResultName(Path.GetFileNameWithoutExtension(recordingFileName), this.Identifier, "png", "DebugSpectrogram"));
debugImage.Save(debugPath.FullName);
}
}
protected virtual Image DrawSonogram(
BaseSonogram sonogram,
double[,] hits,
List <Plot> scores,
List <AcousticEvent> predictedEvents,
double eventThreshold)
{
const bool doHighlightSubband = false;
const bool add1KHzLines = true;
var image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband, add1KHzLines, doMelScale: false));
////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)
{
foreach (var plot in scores)
{
image.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title));
}
}
if (hits != null)
{
image.OverlayRedTransparency(hits);
}
if (predictedEvents != null && predictedEvents.Count > 0)
{
image.AddEvents(
predictedEvents,
sonogram.NyquistFrequency,
sonogram.Configuration.FreqBinCount,
sonogram.FramesPerSecond);
}
var result = image.GetImage();
return(result);
}
/// <summary>
/// Overlays the spectral cluster IDs on a spectrogram from which the clusters derived.
/// </summary>
public static Image DrawClusterSpectrogram(BaseSonogram sonogram, ClusterInfo clusterInfo, TrainingDataInfo data, int lowerBinBound)
{
using (var img = sonogram.GetImage(doHighlightSubband: false, add1KHzLines: true, doMelScale: false))
using (var image = new Image_MultiTrack(img))
{
//image.AddTrack(ImageTrack.GetScoreTrack(DataTools.Bool2Binary(clusterInfo.selectedFrames),0.0, 1.0, 0.0));
//add time scale
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
// add cluster track, show ID of cluster of each frame
string label = string.Format(clusterInfo.ClusterCount + " Clusters");
var scores = new Plot(label, DataTools.normalise(clusterInfo.ClusterHits2), 0.0); // location of cluster hits
image.AddTrack(ImageTrack.GetNamedScoreTrack(scores.data, 0.0, 1.0, scores.threshold, scores.title));
// overlay cluster hits on spectrogram
int[,] hits = AssembleClusterSpectrogram(sonogram.Data, lowerBinBound, clusterInfo, data);
image.OverlayDiscreteColorMatrix(hits);
return(image.GetImage());
}// using
}
} // Analysis()
private static Image DrawSonogram(
BaseSonogram sonogram,
double[,] hits,
Plot scores,
List <AcousticEvent> predictedEvents,
double eventThreshold)
{
const bool DoHighlightSubband = false;
const bool Add1KHzLines = true;
var 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.GetNamedScoreTrack(scores.data, 0.0, 1.0, scores.threshold, scores.title));
}
if (hits != null)
{
image.OverlayRedTransparency(hits);
}
if ((predictedEvents != null) && (predictedEvents.Count > 0))
{
image.AddEvents(
predictedEvents,
sonogram.NyquistFrequency,
sonogram.Configuration.FreqBinCount,
sonogram.FramesPerSecond);
}
return(image.GetImage());
}
private static Image DrawSonogram(
BaseSonogram sonogram,
double[,] hits,
Plot scores,
List <AcousticEvent> predictedEvents,
double eventThreshold)
{
var image = new Image_MultiTrack(sonogram.GetImage());
////System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines);
////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.GetNamedScoreTrack(scores.data, 0.0, 1.0, scores.threshold, scores.title));
}
////if (hits != null) image.OverlayRedTransparency(hits);
if (hits != null)
{
image.OverlayRainbowTransparency(hits);
}
if (predictedEvents != null && predictedEvents.Count > 0)
{
image.AddEvents(
predictedEvents,
sonogram.NyquistFrequency,
sonogram.Configuration.FreqBinCount,
sonogram.FramesPerSecond);
}
return(image.GetImage());
}
public static Image DrawSonogram(BaseSonogram sonogram, Plot scores, List <AcousticEvent> poi, double eventThreshold, double[,] overlay)
{
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage(doHighlightSubband: false, add1KHzLines: false, doMelScale: false));
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
if (scores != null)
{
image.AddTrack(ImageTrack.GetNamedScoreTrack(scores.data, 0.0, 1.0, scores.threshold, scores.title));
}
if (poi != null && poi.Count > 0)
{
image.AddEvents(poi, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
if (overlay != null)
{
var m = MatrixTools.ThresholdMatrix2Binary(overlay, 0.5);
image.OverlayDiscreteColorMatrix(m);
}
return(image.GetImage());
}
}//Sonogram2MultiTrackImage()
public static Image Sonogram2Image(BaseSonogram sonogram, Dictionary <string, string> configDict, double[,] hits, List <Plot> scores, List <AcousticEvent> predictedEvents, double eventThreshold)
{
Image_MultiTrack multiTrackImage = Sonogram2MultiTrackImage(sonogram, configDict);
if (scores != null)
{
foreach (Plot plot in scores)
{
multiTrackImage.AddTrack(ImageTrack.GetNamedScoreTrack(plot.data, 0.0, 1.0, plot.threshold, plot.title)); //assumes data normalised in 0,1
}
}
if (hits != null)
{
multiTrackImage.OverlayRainbowTransparency(hits);
}
if (predictedEvents.Count > 0)
{
multiTrackImage.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(multiTrackImage.GetImage());
} //Sonogram2Image()