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);
}
}
}//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 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
}
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()
private static void DrawWaveforms(AudioRecording recording, string path)
{
int imageWidth = 284;
int imageHeight = 60;
var image2 = new Image_MultiTrack(recording.GetWaveForm(imageWidth, imageHeight));
//path = outputFolder + wavFileName + "_waveform.png";
image2.Save(path);
double dBMin = -25.0; //-25 dB appear to be good value
var image6 = new Image_MultiTrack(recording.GetWaveFormInDecibels(imageWidth, imageHeight, dBMin));
//path = outputFolder + wavFileName + "_waveformDB.png"
image6.Save(path);
}
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
}//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);
}
}