public static void DrawSonogram(BaseSonogram sonogram, string path, double[] array1, double[] array2, List <double[]> scores)
{
Log.WriteLine("# Draw image of sonogram.");
bool doHighlightSubband = false; bool add1kHzLines = true;
//sonogram.FramesPerSecond = 1 / sonogram.FrameOffset;
int length = sonogram.FrameCount;
int maxIndex1 = DataTools.GetMaxIndex(array1);
int maxIndex2 = DataTools.GetMaxIndex(array2);
using (System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines))
using (Image_MultiTrack image = new Image_MultiTrack(img))
{
//img.Save(@"C:\SensorNetworks\WavFiles\temp1\testimage1.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetScoreTrack(DataTools.ScaleArray(array1, length), 0.0, array1[maxIndex1], 5));
image.AddTrack(ImageTrack.GetScoreTrack(DataTools.ScaleArray(array2, length), 0.0, array2[maxIndex2], 0.5));
for (int i = 0; i < scores.Count; i++)
{
int maxIndex = DataTools.GetMaxIndex(scores[i]);
double max = scores[i][maxIndex];
if (max <= 0.0)
{
max = 1.0;
}
image.AddTrack(ImageTrack.GetScoreTrack(DataTools.ScaleArray(scores[i], length), 0.0, max, 0.1));
}
image.Save(path);
}// using
}
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 void DrawSonogram(BaseSonogram sonogram, FileInfo path, List <AcousticEvent> predictedEvents, List <double> thresholdList, List <double[]> scoresList)
{
Log.WriteLine("# Start to draw image of sonogram.");
bool doHighlightSubband = false; bool add1kHzLines = true;
// DO NOT NEED FOLLOWING TWO LINES BECAUSE HAVE CHANGED CODE TO ENSURE THAT ALL TEMPLATES USE THE SAME FRAME OVERLAP
// AND THEREFORE ALL SCORE ARRAYS ARE OF THE SAME LENGTH FOR GIVEN RECORDING
//Log.WriteLine("# Convert score arrays to correct length for display = {0}.", sonogram.FrameCount);
//scoresList = ConvertScoreArrayLengths(scoresList, sonogram.FrameCount);
// DO NOT NEED FOLLOWING LINES BECAUSE HAVE CHANGED CODE TO ENSURE THAT ALL TEMPLATES USE THE SAME FRAME OVERLAP
// AND THEREFORE ALL SCORE ARRAYS ARE OF THE SAME LENGTH FOR GIVEN RECORDING
// Edit the events because they will not necessarily correspond to the timescale of the display image
//Log.WriteLine("# Convert time scale of events.");
//foreach (AcousticEvent ae in predictedEvents)
//{
// Log.WriteLine("# Event frame= {0} to {1}.", ae.oblong.RowTop, ae.oblong.RowBottom);
// ae.FrameOffset = sonogram.FrameOffset;
// ae.FramesPerSecond = sonogram.FramesPerSecond;
// ae.oblong = AcousticEvent.ConvertEvent2Oblong(ae);
// Log.WriteLine("# Event time = {0:f2} to {1:f2}.", ae.StartTime, ae.EndTime);
// Log.WriteLine("# Event frame= {0} to {1}.", ae.oblong.RowTop, ae.oblong.RowBottom);
//}
using (System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines))
using (Image_MultiTrack image = new Image_MultiTrack(img))
{
//img.Save(@"C:\SensorNetworks\WavFiles\temp1\testimage1.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
// Add in score tracks
for (int s = 0; s < scoresList.Count; s++)
{
if (scoresList[s] == null)
{
continue;
}
double[] scores = scoresList[s];
double normMax = thresholdList[s] * 4; //so normalised eventThreshold = 0.25
for (int i = 0; i < scores.Length; i++)
{
scores[i] /= normMax;
if (scores[i] > 1.0)
{
scores[i] = 1.0;
}
if (scores[i] < 0.0)
{
scores[i] = 0.0;
}
}
image.AddTrack(ImageTrack.GetScoreTrack(scores, 0.0, 1.0, 0.25));
} //end adding in score tracks
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
image.Save(path.FullName);
}// using
} // DrawSonogram()
}//end CaneToadRecogniser
public static void DrawSonogram(BaseSonogram sonogram, string path, double[,] hits, double[] scores,
List <AcousticEvent> predictedEvents, double eventThreshold, double[] intensity)
{
Log.WriteLine("# Start to draw image of sonogram.");
bool doHighlightSubband = false;
bool add1kHzLines = true;
//double maxScore = 50.0; //assumed max posisble oscillations per second
using (System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines, doMelScale: false))
using (Image_MultiTrack image = new Image_MultiTrack(img))
{
//img.Save(@"C:\SensorNetworks\WavFiles\temp1\testimage1.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
image.AddTrack(ImageTrack.GetScoreTrack(scores, 0.0, 1.0, eventThreshold));
//double maxScore = 100.0;
//image.AddSuperimposedMatrix(hits, maxScore);
if (intensity != null)
{
double min, max;
DataTools.MinMax(intensity, out min, out max);
double threshold_norm = eventThreshold / max; //min = 0.0;
intensity = DataTools.normalise(intensity);
image.AddTrack(ImageTrack.GetScoreTrack(intensity, 0.0, 1.0, eventThreshold));
}
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
image.Save(path);
}
}
public static Image DrawSonogram(BaseSonogram sonogram, IEnumerable <EventCommon> events)
{
var image = new Image_MultiTrack(sonogram.GetImage(false, true, doMelScale: false));
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
////image.AddTrack(ImageTrack.GetWavEnvelopeTrack(sonogram, image.sonogramImage.Width));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
//############################################################################################ TODO TODO
//convert blob events to acoustic events for drawing purposes
var aeEvents = new List <AcousticEvent>();
foreach (var be in events)
{
aeEvents.Add(EventConverters.ConvertSpectralEventToAcousticEvent((SpectralEvent)be));
}
image.AddEvents(
aeEvents,
sonogram.NyquistFrequency,
sonogram.Configuration.FreqBinCount,
sonogram.FramesPerSecond);
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()
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());
}
} // 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()
static Image DrawSonogram(BaseSonogram sonogram, double[,] hits, double[] scores, List <AcousticEvent> predictedEvents, double eventThreshold)
{
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage());
//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, 0.5, eventThreshold));
}
//if (hits != null) image.OverlayRedTransparency(hits);
if (hits != null)
{
image.OverlayRainbowTransparency(hits);
}
if (predictedEvents.Count > 0)
{
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(image.GetImage());
} //DrawSonogram()
public static void DrawSonogram(BaseSonogram sonogram, string path, List <AcousticEvent> predictedEvents, double threshold, double[] scores)
{
Log.WriteLine("# Start to draw image of sonogram.");
bool doHighlightSubband = false; bool add1kHzLines = true;
using (System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines))
using (Image_MultiTrack image = new Image_MultiTrack(img))
{
//img.Save(@"C:\SensorNetworks\WavFiles\temp1\testimage1.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
image.AddTrack(Image_Track.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
if (scores != null)
{
double normMax = threshold * 4; //so normalised eventThreshold = 0.25
for (int i = 0; i < scores.Length; i++)
{
scores[i] /= normMax;
if (scores[i] > 1.0)
{
scores[i] = 1.0;
}
if (scores[i] < 0.0)
{
scores[i] = 0.0;
}
}
image.AddTrack(Image_Track.GetScoreTrack(scores, 0.0, 1.0, 0.25));
}
image.AddEvents(predictedEvents);
image.Save(path);
}
}
/// <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());
}
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);
}
}
public static Image DrawSonogram(BaseSonogram sonogram, IEnumerable <AcousticEvent> events)
{
var image = new Image_MultiTrack(sonogram.GetImage(false, true, doMelScale: false));
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
////image.AddTrack(ImageTrack.GetWavEnvelopeTrack(sonogram, image.sonogramImage.Width));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
image.AddEvents(
events,
sonogram.NyquistFrequency,
sonogram.Configuration.FreqBinCount,
sonogram.FramesPerSecond);
return(image.GetImage());
}
public static void DrawSonogram(BaseSonogram sonogram, string path, AcousticEvent ae)
{
Log.WriteLine("# Start to draw image of sonogram.");
bool doHighlightSubband = false; bool add1kHzLines = true;
using (Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines))
using (Image_MultiTrack image = new Image_MultiTrack(img))
{
//img.Save(@"C:\SensorNetworks\WavFiles\temp1\testimage1.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
var aes = new List <AcousticEvent>();
aes.Add(ae);
image.AddEvents(aes, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
image.Save(path);
}
} //end DrawSonogram
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);
}
}//end Execute_Segmentation
public static void DrawSonogram(BaseSonogram sonogram, string path, List <AcousticEvent> predictedEvents, double eventThreshold, double[] segmentation)
{
Log.WriteLine("# Start sono image.");
bool doHighlightSubband = false;
bool add1kHzLines = true;
//double maxScore = 50.0; //assumed max posisble oscillations per second
using (System.Drawing.Image img = sonogram.GetImage(doHighlightSubband, add1kHzLines, doMelScale: false))
using (Image_MultiTrack image = new Image_MultiTrack(img))
{
//img.Save(@"C:\SensorNetworks\WavFiles\temp1\testimage1.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
image.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
image.AddTrack(ImageTrack.GetSegmentationTrack(sonogram));
image.AddTrack(ImageTrack.GetScoreTrack(segmentation, 0.0, 1.0, eventThreshold));
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
image.Save(path);
}
}
/// <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());
}
/// <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());
}
static Image DrawSonogram(BaseSonogram sonogram, double[,] hits, List <double[]> scores, List <AcousticEvent> predictedEvents, double eventThreshold)
{
bool doHighlightSubband = false; bool add1kHzLines = true;
int maxFreq = sonogram.NyquistFrequency / 2;
Image_MultiTrack image = new Image_MultiTrack(sonogram.GetImage(maxFreq, 1, doHighlightSubband, add1kHzLines));
image.AddTrack(Image_Track.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond));
if (scores != null)
{
foreach (double[] array in scores)
{
image.AddTrack(Image_Track.GetScoreTrack(array, 0.0, 1.0, eventThreshold));
}
}
if (hits != null)
{
image.OverlayRainbowTransparency(hits);
}
if (predictedEvents.Count > 0)
{
image.AddEvents(predictedEvents, sonogram.NyquistFrequency, sonogram.Configuration.FreqBinCount, sonogram.FramesPerSecond);
}
return(image.GetImage());
} //DrawSonogram()