public static void TestTemplates(FileInfo listOfIndexFiles, FileInfo templatesFile, FileInfo imageOfLdfcSpectrogram)
{
var contentDictionary = ContentSignatures.ContentDescriptionOfMultipleRecordingFiles(listOfIndexFiles, templatesFile);
// Write the results to a csv file
var outputDirectory = templatesFile.DirectoryName;
var filePath = Path.Combine(outputDirectory ?? throw new InvalidOperationException("Output directory does not exist."), "AcousticSignatures.csv");
FileTools.WriteDictionaryAsCsvFile(contentDictionary, filePath);
// get content description plots and use to examine score distributions.
var contentPlots = ContentSignatures.GetPlots(contentDictionary);
var images = GraphsAndCharts.DrawPlotDistributions(contentPlots);
var plotsImage = ImageTools.CombineImagesVertically(images);
var path1 = Path.Combine(outputDirectory, "ScoreDistributions.png");
plotsImage.Save(path1);
// Attach plots to LDFC spectrogram and write to file
var imageList = new List <Image <Rgb24> >();
if (imageOfLdfcSpectrogram != null)
{
var ldfcSpectrogram = Image.Load <Rgb24>(imageOfLdfcSpectrogram.FullName);
imageList.Add(ldfcSpectrogram);
}
if (contentPlots != null)
{
int plotHeight = 30;
foreach (var plot in contentPlots)
{
var imageOfPlot = plot.DrawAnnotatedPlot(plotHeight);
imageList.Add(imageOfPlot);
}
}
if (imageList.Count != 0)
{
var opImage = ImageTools.CombineImagesVertically(imageList);
var path2 = Path.Combine(outputDirectory, templatesFile.BaseName() + ".TestOfTemplates.png");
opImage.Save(path2);
}
//Console.WriteLine("# Finished test of content description templates");
}
public static void Execute(Arguments arguments)
{
MainEntry.WarnIfDeveloperEntryUsed();
TowseyLibrary.Log.Verbosity = 1;
string date = "# DATE AND TIME: " + DateTime.Now;
LoggedConsole.WriteLine("# Running acoustic event detection.");
LoggedConsole.WriteLine(date);
FileInfo recodingFile = arguments.Source;
var recodingBaseName = recodingFile.BaseName();
DirectoryInfo outputDir = arguments.Output.Combine(EcosoundsAedIdentifier);
outputDir.Create();
Log.Info("# Output folder =" + outputDir);
Log.Info("# Recording file: " + recodingFile.Name);
// READ PARAMETER VALUES FROM INI FILE
AedConfiguration configruation = ConfigFile.Deserialize <AedConfiguration>(arguments.Config);
var aedConfig = GetAedParametersFromConfigFileOrDefaults(configruation);
var results = Detect(recodingFile, aedConfig, TimeSpan.Zero);
// print image
// save image of sonograms
var outputImagePath = outputDir.CombineFile(recodingBaseName + ".Sonogram.png");
Image image = DrawSonogram(results.Item3, results.Item1);
image.Save(outputImagePath.FullName, ImageFormat.Png);
Log.Info("Image saved to: " + outputImagePath.FullName);
// output csv
var outputCsvPath = outputDir.CombineFile(recodingBaseName + ".Events.csv");
WriteEventsFileStatic(outputCsvPath, results.Item1);
Log.Info("CSV file saved to: " + outputCsvPath.FullName);
TowseyLibrary.Log.WriteLine("Finished");
}
public static void Execute(Arguments arguments)
{
string date = "# DATE AND TIME: " + DateTime.Now;
Log.WriteLine("# DETECTING LOW FREQUENCY AMPLITUDE OSCILLATIONS");
Log.WriteLine(date);
Log.Verbosity = 1;
FileInfo recordingFile = arguments.Source;
FileInfo iniPath = arguments.Config.ToFileInfo();
DirectoryInfo outputDir = arguments.Output;
string opFName = "OcillationReconiserResults.cav";
string opPath = outputDir + opFName;
Log.WriteIfVerbose("# Output folder =" + outputDir);
//READ PARAMETER VALUES FROM INI FILE
var config = new ConfigDictionary(iniPath);
Dictionary <string, string> dict = config.GetTable();
Dictionary <string, string> .KeyCollection keys = dict.Keys;
bool doSegmentation = bool.Parse(dict[key_DO_SEGMENTATION]);
int minHz = int.Parse(dict[key_MIN_HZ]);
int maxHz = int.Parse(dict[key_MAX_HZ]);
double frameOverlap = double.Parse(dict[key_FRAME_OVERLAP]);
double dctDuration = double.Parse(dict[key_DCT_DURATION]); //duration of DCT in seconds
double dctThreshold = double.Parse(dict[key_DCT_THRESHOLD]); //minimum acceptable value of a DCT coefficient
int minOscilFreq = int.Parse(dict[key_MIN_OSCIL_FREQ]); //ignore oscillations below this threshold freq
int maxOscilFreq = int.Parse(dict[key_MAX_OSCIL_FREQ]); //ignore oscillations above this threshold freq
double minDuration = double.Parse(dict[key_MIN_DURATION]); //min duration of event in seconds
double maxDuration = double.Parse(dict[key_MAX_DURATION]); //max duration of event in seconds
double eventThreshold = double.Parse(dict[key_EVENT_THRESHOLD]); //min score for an acceptable event
int DRAW_SONOGRAMS = int.Parse(dict[key_DRAW_SONOGRAMS]); //options to draw sonogram
Log.WriteIfVerbose("Freq band: {0} Hz - {1} Hz.)", minHz, maxHz);
Log.WriteIfVerbose("Oscill bounds: " + minOscilFreq + " - " + maxOscilFreq + " Hz");
Log.WriteIfVerbose("minAmplitude = " + dctThreshold);
Log.WriteIfVerbose("Duration bounds: " + minDuration + " - " + maxDuration + " seconds");
//#############################################################################################################################################
var results = Execute_ODDetect(recordingFile, doSegmentation, minHz, maxHz, frameOverlap, dctDuration, dctThreshold,
minOscilFreq, maxOscilFreq, eventThreshold, minDuration, maxDuration);
Log.WriteLine("# Finished detecting oscillation events.");
//#############################################################################################################################################
var sonogram = results.Item1;
var hits = results.Item2;
var scores = results.Item3;
var predictedEvents = results.Item4;
var intensity = results.Item5;
var analysisDuration = results.Item6;
Log.WriteLine("# Event Count = " + predictedEvents.Count());
int pcHIF = 100;
if (intensity != null)
{
int hifCount = intensity.Count(p => p >= 0.001); //count of high intensity frames
pcHIF = 100 * hifCount / sonogram.FrameCount;
}
//write event count to results file.
double sigDuration = sonogram.Duration.TotalSeconds;
string fname = recordingFile.BaseName();
int count = predictedEvents.Count;
//string str = String.Format("#RecordingName\tDuration(sec)\t#Ev\tCompT(ms)\t%hiFrames\n{0}\t{1}\t{2}\t{3}\t{4}\n", fname, sigDuration, count, analysisDuration.TotalMilliseconds, pcHIF);
string str = string.Format("{0}\t{1}\t{2}\t{3}\t{4}", fname, sigDuration, count, analysisDuration.TotalMilliseconds, pcHIF);
StringBuilder sb = AcousticEvent.WriteEvents(predictedEvents, str);
FileTools.WriteTextFile(opPath, sb.ToString());
//draw images of sonograms
string imagePath = outputDir + fname + ".png";
if (DRAW_SONOGRAMS == 2)
{
DrawSonogram(sonogram, imagePath, hits, scores, predictedEvents, eventThreshold, intensity);
}
else
if (DRAW_SONOGRAMS == 1 && predictedEvents.Count > 0)
{
DrawSonogram(sonogram, imagePath, hits, scores, predictedEvents, eventThreshold, intensity);
}
Log.WriteLine("# Finished recording:- " + recordingFile.Name);
}
