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();
}
