/// <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());
}
}//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()
/// <summary>
/// This method draws a spectrogram 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 <Rgb24> GetSonogramPlusCharts(
BaseSonogram sonogram,
List <AcousticEvent> events,
List <Plot> plots,
double[,] hits)
{
var spectrogram = sonogram.GetImage(doHighlightSubband: false, add1KHzLines: true, doMelScale: false);
Contract.RequiresNotNull(spectrogram, nameof(spectrogram));
var height = spectrogram.Height;
var frameSize = sonogram.Configuration.WindowSize;
// init with linear frequency scale and draw freq grid lines on image
int hertzInterval = 1000;
if (height < 200)
{
hertzInterval = 2000;
}
var freqScale = new FrequencyScale(sonogram.NyquistFrequency, frameSize, hertzInterval);
FrequencyScale.DrawFrequencyLinesOnImage(spectrogram, freqScale.GridLineLocations, includeLabels: true);
// draw event outlines onto spectrogram.
if (events != null && events.Count > 0)
{
// set colour for the events
foreach (AcousticEvent ev in events)
{
ev.BorderColour = AcousticEvent.DefaultBorderColor;
ev.ScoreColour = AcousticEvent.DefaultScoreColor;
ev.DrawEvent(spectrogram, sonogram.FramesPerSecond, sonogram.FBinWidth, height);
}
}
// now add in hits to the spectrogram image.
if (hits != null)
{
spectrogram = Image_MultiTrack.OverlayScoresAsRedTransparency(spectrogram, hits);
// following line needs to be reworked if want to call OverlayRainbowTransparency(hits);
//image.OverlayRainbowTransparency(hits);
}
int pixelWidth = spectrogram.Width;
var titleBar = LDSpectrogramRGB.DrawTitleBarOfGrayScaleSpectrogram("TITLE", pixelWidth);
var timeTrack = ImageTrack.DrawTimeTrack(sonogram.Duration, pixelWidth);
var imageList = new List <Image <Rgb24> >
{
titleBar,
timeTrack,
spectrogram,
timeTrack,
};
if (plots != null)
{
foreach (var plot in plots)
{
// Next line assumes plot data normalised in 0,1
var plotImage = plot.DrawAnnotatedPlot(ImageTrack.DefaultHeight);
// the following draws same plot without the title.
//var plotImage = ImageTrack.DrawScoreArrayTrack(plot.data, plot.threshold, pixelWidth);
imageList.Add(plotImage);
}
}
var compositeImage = ImageTools.CombineImagesVertically(imageList);
return(compositeImage);
}
/// <summary>
/// This method draws a spectrogram 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 <Rgb24> GetSonogramPlusCharts(
BaseSonogram sonogram,
List <EventCommon> events,
List <Plot> plots,
double[,] hits)
{
var spectrogram = sonogram.GetImage(doHighlightSubband: false, add1KHzLines: true, doMelScale: false);
Contract.RequiresNotNull(spectrogram, nameof(spectrogram));
var height = spectrogram.Height;
var width = spectrogram.Width;
var frameSize = sonogram.Configuration.WindowSize;
//var segmentDuration = sonogram.Duration;
var spectrogramDuration = width * sonogram.FrameStep;
// init with linear frequency scale and draw freq grid lines on image
int hertzInterval = 1000;
if (height < 200)
{
hertzInterval = 2000;
}
var nyquist = sonogram.NyquistFrequency;
var freqScale = new FrequencyScale(nyquist, frameSize, hertzInterval);
FrequencyScale.DrawFrequencyLinesOnImage(spectrogram, freqScale.GridLineLocations, includeLabels: true);
// draw event outlines onto spectrogram.
if (events != null && events.Count > 0)
{
foreach (SpectralEvent ev in events)
{
var options = new EventRenderingOptions(new UnitConverters(ev.SegmentStartSeconds, spectrogramDuration, nyquist, width, height));
spectrogram.Mutate(x => ev.Draw(x, options));
}
}
// now add in hits to the spectrogram image.
if (hits != null)
{
spectrogram = Image_MultiTrack.OverlayScoresAsRedTransparency(spectrogram, hits);
}
int pixelWidth = spectrogram.Width;
var titleBar = LDSpectrogramRGB.DrawTitleBarOfGrayScaleSpectrogram("TITLE", pixelWidth);
var timeTrack = ImageTrack.DrawTimeTrack(sonogram.Duration, pixelWidth);
var imageList = new List <Image <Rgb24> >
{
titleBar,
timeTrack,
spectrogram,
timeTrack,
};
if (plots != null)
{
foreach (var plot in plots)
{
// Next line assumes plot data normalised in 0,1
var plotImage = plot.DrawAnnotatedPlot(ImageTrack.DefaultHeight);
// the following draws same plot without the title.
//var plotImage = ImageTrack.DrawScoreArrayTrack(plot.data, plot.threshold, pixelWidth);
imageList.Add(plotImage);
}
}
var compositeImage = ImageTools.CombineImagesVertically(imageList);
return(compositeImage);
}
} //OverlayMatrix()
/// <summary>
/// superimposes a matrix of scores on top of a sonogram.
/// </summary>
public Image <Rgb24> OverlayRedTransparency(Image <Rgb24> bmp)
{
return(Image_MultiTrack.OverlayScoresAsRedTransparency(bmp, this.SuperimposedRedTransparency));
}
/// <summary>
///
/// </summary>
/// <returns></returns>
public static Image_MultiTrack Sonogram2MultiTrackImage(BaseSonogram sonogram, Dictionary <string, string> configDict)
{
bool doHighlightSubband = false;
//check if doing a reduced sonogram
//int timeReductionFactor = 1;
//if (configDict.ContainsKey(Keys.TIME_REDUCTION_FACTOR))
// timeReductionFactor = ConfigDictionary.GetInt(Keys.TIME_REDUCTION_FACTOR, configDict);
//int freqReductionFactor = 1;
//if (configDict.ContainsKey(Keys.FREQ_REDUCTION_FACTOR))
// freqReductionFactor = ConfigDictionary.GetInt(Keys.FREQ_REDUCTION_FACTOR, configDict);
//if (!((timeReductionFactor == 1) && (freqReductionFactor == 1)))
//{
// sonogram.Data = ReduceDimensionalityOfSpectrogram(sonogram.Data, timeReductionFactor, freqReductionFactor);
// return sonogram.GetImage(doHighlightSubband, add1kHzLines);
//}
// (iii) NOISE REDUCTION
//bool doNoiseReduction = false;
//if (configDict.ContainsKey(AnalysisKeys.NoiseDoReduction))
// doNoiseReduction = ConfigDictionary.GetBoolean(AnalysisKeys.NoiseDoReduction, configDict);
//if (doNoiseReduction)
//{
// //LoggedConsole.WriteLine("PERFORMING NOISE REDUCTION");
// double bgThreshold = 3.0;
// if (configDict.ContainsKey(AnalysisKeys.NoiseBgThreshold))
// bgThreshold = ConfigDictionary.GetDouble(AnalysisKeys.NoiseBgThreshold, configDict);
// var tuple = SNR.NoiseReduce(sonogram.Data, NoiseReductionType.STANDARD, bgThreshold);
// sonogram.Data = tuple.Item1; // store data matrix
//}
//ADD time and frequency scales
bool addScale = false;
if (configDict.ContainsKey(AnalysisKeys.AddTimeScale))
{
addScale = ConfigDictionary.GetBoolean(AnalysisKeys.AddTimeScale, configDict);
}
else
if (configDict.ContainsKey(AnalysisKeys.AddAxes))
{
addScale = ConfigDictionary.GetBoolean(AnalysisKeys.AddAxes, configDict);
}
Image img = sonogram.GetImage(doHighlightSubband, add1KHzLines: addScale, doMelScale: false);
Image_MultiTrack mti = new Image_MultiTrack(img);
if (addScale)
{
mti.AddTrack(ImageTrack.GetTimeTrack(sonogram.Duration, sonogram.FramesPerSecond)); //add time scale
}
bool addSegmentationTrack = false;
//add segmentation track
if (configDict.ContainsKey(AnalysisKeys.AddSegmentationTrack))
{
addSegmentationTrack = ConfigDictionary.GetBoolean(AnalysisKeys.AddSegmentationTrack, configDict);
}
if (addSegmentationTrack)
{
mti.AddTrack(ImageTrack.GetSegmentationTrack(sonogram)); //add segmentation track
}
return(mti);
//mti.AddTrack(ImageTrack.GetWavEnvelopeTrack(sonogram)); //add segmentation track
}//Sonogram2MultiTrackImage()