/// <summary>
/// Cycles through a set of acoustic indices in the order listed and calculates one acoustic signature for each minute of recording.
/// WARNING!!!! It is assumed that the indices are listed in temporal order of the original recordings and that the original recordings were continuous.
/// When these conditions satisfied, the returned plots contain scores over consecutive minutes.
/// Alternatively could read recording minute from its file name.
/// </summary>
/// <param name="listOfIndexFiles">A text file, each line being the path to the acoustic indices derived from one recording.</param>
/// <param name="templatesFile">A json file containing an array of acoustic templates.</param>
/// <returns>A list of plots - each plot is the minute by minute scores for a single template.</returns>
public static Dictionary <string, double[]> ContentDescriptionOfMultipleRecordingFiles(FileInfo listOfIndexFiles, FileInfo templatesFile)
{
// TODO: inline this method into AnalysisPrograms.ContentDescription.UseModel.Analyse
const int startMinute = 0;
// Read in all the prepared templates
var templates = Json.Deserialize <FunctionalTemplate[]>(templatesFile);
var templatesAsDictionary = DataProcessing.ExtractDictionaryOfTemplateDictionaries(templates);
// Read in list of paths to index files
var filePaths = FileTools.ReadTextFile(listOfIndexFiles.FullName);
// init a list to collect description results
var completeListOfResults = new List <DescriptionResult>();
//init a minute index
int elapsedMinutes = 0;
// cycle through the directories
for (int i = 0; i < filePaths.Count; i++)
{
// read the spectral indices for the current file.
//IMPORTANT: This method returns normalised index values
var dictionaryOfRecordingIndices = DataProcessing.ReadIndexMatrices(filePaths[i]);
// Draw the index matrices for check/debug purposes
// var dir1 = new DirectoryInfo(@"C:\Ecoacoustics\Output\ContentDescription");
// ContentDescription.DrawNormalisedIndexMatrices(dir1, baseName, dictionary);
// get the rows and do something with them one by one.
var results = AnalyzeMinutes(templates, templatesAsDictionary, dictionaryOfRecordingIndices, elapsedMinutes);
completeListOfResults.AddRange(results);
// calculate the elapsed minutes in this recording
var matrix = dictionaryOfRecordingIndices.FirstValue();
elapsedMinutes += matrix.GetLength(0);
}
// convert completeListOfResults to dictionary of score arrays
var contentDictionary = DataProcessing.ConvertResultsToDictionaryOfArrays(completeListOfResults, elapsedMinutes, startMinute);
return(contentDictionary);
}
/// <summary>
/// This method calculates new template based on passed manifest.
/// </summary>
public static Dictionary <string, double[]> CreateTemplateDefinition(TemplateManifest templateManifest)
{
// Get the template provenance. Assume array contains only one element.
var provenanceArray = templateManifest.Provenance;
var provenance = provenanceArray[0];
var sourceDirectory = provenance.Directory;
var baseName = provenance.Basename;
// Read all indices from the complete recording. The path variable is a partial path requiring to be appended.
var path = Path.Combine(sourceDirectory, baseName + ContentSignatures.AnalysisString);
var dictionaryOfIndices = DataProcessing.ReadIndexMatrices(path);
var algorithmType = templateManifest.FeatureExtractionAlgorithm;
Dictionary <string, double[]> newTemplateDefinition;
switch (algorithmType)
{
case 1:
newTemplateDefinition = ContentAlgorithms.CreateFullBandTemplate1(templateManifest, dictionaryOfIndices);
break;
case 2:
newTemplateDefinition = ContentAlgorithms.CreateBroadbandTemplate1(templateManifest, dictionaryOfIndices);
break;
case 3:
newTemplateDefinition = ContentAlgorithms.CreateNarrowBandTemplate1(templateManifest, dictionaryOfIndices);
break;
default:
//LoggedConsole.WriteWarnLine("Algorithm " + algorithmType + " does not exist.");
newTemplateDefinition = null;
break;
}
return(newTemplateDefinition);
}
