public void LoadLearnData()
{
try
{
learnData = new List<NeuralNetworkIO>();
if (!File.Exists(learnDataFile))
throw new Exception("Can't load file");
TextReader reader = File.OpenText(learnDataFile);
string line;
while ((line = reader.ReadLine()) != null)
{
string[] numbersStr = line.Split(learnDataSplitCharacters);
if (numbersStr.Length != wordsInLineCount)
{
Debug.LogError("Incorrect number count in line:" + numbersStr.Length);
continue;
}
NeuralNetworkIO data = new NeuralNetworkIO();
data.input = new float[inputSize];
data.output = new float[gestureCount];
for (int a = 0; a < wordsInLineCount; ++a)
{
if (a < inputSize)
data.input[a] = float.Parse(numbersStr[a]);
else
data.output[a - inputSize] = float.Parse(numbersStr[a]);
}
learnData.Add(data);
}
reader.Close();
}
catch (System.Exception e)
{
Debug.LogException(e);
}
}
public void Add()
{
if (points.Count == 0)
return;
float[] deltaAngles = GestureRecognizerDeltaAngle.GetDeltaAngles(gesture);
NeuralNetworkIO data = new NeuralNetworkIO();
data.input = new float[GestureLearning.inputSize];
for (int a = 0; a < data.input.Length; ++a)
{
if (a < GestureLearning.pointsCount)
data.input[a] = gesture[a].x;
else if (a < GestureLearning.pointsCount * 2)
data.input[a] = gesture[a - GestureLearning.pointsCount].y;
else
data.input[a] = GestureRecognizerDeltaAngle.NormalizeAngleTo01(deltaAngles[a - GestureLearning.pointsCount * 2]);
}
data.output = new float[GestureLearning.gestureCount];
data.output[gestureID] = 1f;
gestureLearning.Add(data);
}
public void Add(NeuralNetworkIO data)
{
learnData.Add(data);
}
