public void Validate(TimeSpan defaultIndexCalculationDuration) { SpectralIndexValues.CheckExistenceOfSpectralIndexValues(this.IndexProperties); // if tiling output we need to be able to parse the date from the file name Log.Info("Image tiling is " + (this.TileOutput ? string.Empty : "NOT ") + "enabled"); if (this.TileOutput) { if (!this.RequireDateInFilename) { throw new ConfigFileException( "If TileImageOutput is set then RequireDateInFilename must be set as well"); } } // set IndexCalculationDuration i.e. duration of a subsegment if (this.IndexCalculationDuration <= 0) { this.IndexCalculationDuration = defaultIndexCalculationDuration.TotalSeconds; Log.Warn( "IndexCalculationDuration from config file is invalid" + $" (Used default value = {this.IndexCalculationDuration})"); } if (this.TileOutput && this.IndexCalculationDuration != 60.0) { throw new ConfigFileException( "Invalid configuration detected: tile image output is enabled but " + "ICD != 60.0 so the images won'tbe created"); } }
/// <summary> /// Compress high resolution indices - intended to be used when summarizing results. /// Summarize method not yet written. /// </summary> /// <param name="analysisResults"></param> /// <param name="indexResults"></param> /// <param name="highResolutionParsedConfiguration"></param> private void SummarizeHighResolutionIndices( AnalysisResult2 analysisResults, IndexCalculateResult[] indexResults, AcousticIndices.AcousticIndicesConfig highResolutionParsedConfiguration) { // NOW COMPRESS THE HI-RESOLUTION SPECTRAL INDICES TO LOW RES double lowResolution = highResolutionParsedConfiguration.GetDoubleOrNull("LowResolution") ?? 60.0; TimeSpan imageScale = TimeSpan.FromSeconds(lowResolution); TimeSpan dataScale = highResolutionParsedConfiguration.IndexCalculationDuration.Seconds(); var dictionaryOfSpectra = indexResults.Select(icr => icr.SpectralIndexValues).ToArray().ToTwoDimensionalArray(SpectralIndexValues.CachedSelectors, TwoDimensionalArray.Rotate90ClockWise); var spectralSelection = IndexMatrices.CompressIndexSpectrograms(dictionaryOfSpectra, imageScale, dataScale); // check that have not compressed matrices to zero length double[,] matrix = spectralSelection.First().Value; if (matrix.GetLength(0) == 0 || matrix.GetLength(1) == 0) { LoggedConsole.WriteErrorLine("WARNING: SPECTRAL INDEX MATRICES compressed to zero length!!!!!!!!!!!!!!!!!!!!!!!!"); } // Place LOW RESOLUTION SPECTRAL INDICES INTO analysisResults before returning. //int windowLength = (int?)highResolutionConfig[AnalysisKeys.FrameLength] ?? IndexCalculate.DefaultWindowSize; var indexProperties = highResolutionParsedConfiguration.IndexProperties; SpectralIndexValues.CheckExistenceOfSpectralIndexValues(indexProperties); // Init a new spectral indices class and populate it with spectral indices var spectrums = SpectralIndexValues.ImportFromDictionary(spectralSelection); for (int i = 0; i < spectrums.Length; i++) { spectrums[i].ResultStartSeconds = (analysisResults.SegmentStartOffset + TimeSpan.FromSeconds(i * lowResolution)).TotalSeconds; spectrums[i].SegmentDurationSeconds = imageScale.TotalSeconds; spectrums[i].FileName = ((SegmentSettings <object>)analysisResults.SegmentSettings).Segment.SourceMetadata.Identifier; } // assign to the analysis result analysisResults.SpectralIndices = spectrums; // TODO TODO TODO // ALSO NEED TO COMPRESS THE analysisResults.SummaryIndices To LOW RESOLUTION //var summaryIndexValues = new SummaryIndexValues(); //summaryIndexValues.BackgroundNoise = ETC; // ETC //var summaryiv = new SummaryIndexValues[1]; //summaryiv[0] = summaryIndexValues; //analysisResults.SummaryIndices = summaryiv; }