public static NuralData GetData(string fileName)
{
// BinaryFormatter binaryFormatter = new BinaryFormatter();
// FileStream reader = new FileStream(Path.Combine(Application.persistentDataPath, fileName), FileMode.Open);
// NuralData data = (NuralData)binaryFormatter.Deserialize(stream);
// stream.Close();
StreamReader reader = new StreamReader(Path.Combine(Application.persistentDataPath, fileName));
string text = reader.ReadToEnd();
reader.Close();
NuralData data = JsonUtility.FromJson <NuralData>(text);
string[] s = data.savedWeights[0].Split(',');
float[,] weights = new float[data.savedWeights.Length, s.Length];
for (int x = 0; x < data.savedWeights.Length; x++)
{
string[] row = data.savedWeights[x].Split(',');
for (var y = 0; y < row.Length; y++)
{
weights[x, y] = float.Parse(row[y]);
}
}
data.weights = weights;
return(data);
}
public static void SaveData(NuralData data, string fileName)
{
// BinaryFormatter binaryFormatter = new BinaryFormatter();
// FileStream stream = new FileStream(Path.Combine(Application.persistentDataPath, fileName), FileMode.Create);
// binaryFormatter.Serialize(stream, data);
// stream.Close();
string[] savedWeights = new string[data.weights.GetLength(0)];
for (int x = 0; x < savedWeights.Length; x++)
{
string row = "";
for (int y = 0; y < data.weights.GetLength(1); y++)
{
row += data.weights[x, y].ToString();
if (y < data.weights.GetLength(1) - 1)
{
row += ",";
}
}
savedWeights[x] = row;
}
data.savedWeights = savedWeights;
System.IO.File.WriteAllText(Path.Combine(Application.persistentDataPath, fileName), JsonUtility.ToJson(data, true));
}
