private void Start()
{
colores = Img.texture.GetPixels();
for (int i = 0; i < colores.Length; ++i)
{
imgInput.Add(colores[i].grayscale);
//Debug.Log(imgInput[i]);
}
if (!File.Exists("Assets/Resources/Weights.txt"))
{
writer = new StreamWriter("Assets/Resources/Weights.txt", true);
for (int i = 0; i < colores.Length; ++i)
{
float temp = Random.Range(0.0f, 1.0f);
//Debug.Log(temp);
writer.WriteLine(temp.ToString());
initWeights.Add(temp);
//Debug.Log(initWeights[i]);
}
writer.Close();
}
else
{
string line;
reader = new StreamReader("Assets/Resources/Weights.txt");
while ((line = reader.ReadLine()) != null)
{
initWeights.Add(float.Parse(line));
}
}
string repPath = "Assets/Resources/Report.txt";
Report = new StreamWriter(repPath, true);
foreach (float n in imgInput)
{
uno.Add(new Perceptron(imgInput, initWeights, 0, Bias));
uno[imgInput.IndexOf(n)].Layer = 1;
uno[imgInput.IndexOf(n)].ID = count;
uno[imgInput.IndexOf(n)].operation();
Report.WriteLine(uno[imgInput.IndexOf(n)].report());
count++;
}
foreach (float n in imgInput)
{
dos.Add(new ReLu(uno, initWeights, 0, Bias));
dos[imgInput.IndexOf(n)].Layer = 2;
dos[imgInput.IndexOf(n)].ID = count;
dos[imgInput.IndexOf(n)].operation();
Report.WriteLine(dos[imgInput.IndexOf(n)].report());
count++;
}
foreach (float n in imgInput)
{
tres.Add(new Sigmoid(dos, initWeights, 0, Bias));
tres[imgInput.IndexOf(n)].Layer = 3;
tres[imgInput.IndexOf(n)].ID = count;
tres[imgInput.IndexOf(n)].operation();
Report.WriteLine(tres[imgInput.IndexOf(n)].report());
count++;
}
foreach (float n in imgInput)
{
cuatro.Add(new softMax(tres, initWeights, 0, Bias));
cuatro[imgInput.IndexOf(n)].Layer = 4;
cuatro[imgInput.IndexOf(n)].ID = count;
//cuatro[imgInput.IndexOf(n)].inputList = cuatro[imgInput.IndexOf(n)].finput(tres);
cuatro[imgInput.IndexOf(n)].operation();
Report.WriteLine(cuatro[imgInput.IndexOf(n)].report());
count++;
}
Neuron finalNode = new Sigmoid(cuatro, initWeights, 0, Bias);
finalNode.operation2();
globalOutput = finalNode.x;
Debug.Log("Output: " + finalNode.x);
Report.Close();
BackP bp = new BackP();
float OE = bp.FErrorD(25, 1.0f, globalOutput);
Debug.Log("Output Error: " + OE);
List <float> newWeights = new List <float>();
for (int i = 0; i < 25; ++i)
{
newWeights[i] = bp.Weight(initWeights[i], Alpha, finalNode.x, finalNode.Output, finalNode.inputList[i], imgInput[i]);
}
//AssetDatabase.RenameAsset(repPath,( "Report_" + System.DateTime.Now.ToUniversalTime().ToString() + ".txt"));
}