public void AddAlgorithmParamsToTitle(AlgorithmParams algParams) { string paramsString = String.Format( CultureInfo.InvariantCulture, " [e: {0:F3}, m: {1:F3}, mfcc: {2}, sigfr: {3}, tc: {4:F3}]", algParams.LearningRate, algParams.Momentum, algParams.MfccCount, algParams.SignalFramesCount, algParams.TCoef); _plotTitle += paramsString; }
public void CopyFrom(AlgorithmParams algorithmParams) { LearningRate = algorithmParams.LearningRate; Momentum = algorithmParams.Momentum; MfccCount = algorithmParams.MfccCount; TCoef = algorithmParams.TCoef; SignalFramesCount = algorithmParams.SignalFramesCount; }
/// <summary> /// Resetule logikę (usuwa zbudowane sieci neuronowe itp.). Potem jest potrzebna nowa inicjalizacja. /// </summary> public void Reset() { if (WasAudioRecordingStarted) { audioRecorder.StopRecording(); WasAudioRecordingStarted = false; } WasTrained = false; neuralNetworks = null; people = null; algorithmParams = null; }
/// <summary> /// Inicjalizuje logikę (w praktyce: buduje sieci neuronowe). /// </summary> /// <param name="peopleToBeRecognized">Osoby, których rozpoznawania będziemy uczyć sieć.</param> /// <param name="algParams">Parametry algorytmu.</param> public void Init(IList<Person> peopleToBeRecognized, AlgorithmParams algParams) { if (peopleToBeRecognized == null) { throw new ArgumentNullException("peopleToBeRecognized"); } if (!peopleToBeRecognized.Any()) { throw new ArgumentOutOfRangeException("peopleToBeRecognized", "You should assign at least one person."); } if (algParams == null) { throw new ArgumentNullException("algParams"); } if (WasInitialized) { throw new InvalidOperationException("AlgorithmsLogic was already initialized!"); } people = peopleToBeRecognized; algorithmParams = algParams; CreateNeuralNetworks(); }