private void PositionConnection(Image connection, UINeuralNetworkWeightPanel otherNode, int nodeIndex, int connectedNodeIndex, float[][] weights)
{
try
{
connection.transform.localPosition = Vector3.zero;
Vector2 sizeDelta = connection.rectTransform.sizeDelta;
float weight = weights[connectedNodeIndex][nodeIndex];
sizeDelta.x = (float)System.Math.Abs(weight * 2);
if (sizeDelta.x < 1)
{
sizeDelta.x = 1;
}
else if (sizeDelta.x > 3f)
{
sizeDelta.x = 3;
}
if (weight >= 0)
{
connection.color = PositiveColor;
}
else
{
connection.color = NegativeColor;
}
Color var = connection.color;
var.a = 1f;
connection.color = var;
Vector2 connectionVector = this.transform.position - otherNode.transform.position;
sizeDelta.y = connectionVector.magnitude / GameObject.Find("UI").GetComponent <Canvas>().scaleFactor;
connection.rectTransform.sizeDelta = sizeDelta;
float angle = Vector2.Angle(Vector2.up, connectionVector);
connection.transform.rotation = Quaternion.AngleAxis(angle, new Vector3(0, 0, 1));
}
catch (System.IndexOutOfRangeException ex)
{
}
}
public void Display(uint neuronCount, bool bias)
{
UINeuralNetworkWeightPanel dummyNode = Nodes[0];
for (int i = Nodes.Count; i < neuronCount; i++)
{
UINeuralNetworkWeightPanel newNode = Instantiate(dummyNode);
newNode.transform.SetParent(LayerContents.transform, false);
Nodes.Add(newNode);
if (i == neuronCount - 1 && bias)
{
Color oldColor = newNode.GetComponent <Image>().color;
Color newColor = new Color(237, 0, 255, 1);
newNode.GetComponent <Image>().color = newColor;
}
}
for (int i = this.Nodes.Count - 1; i >= neuronCount; i++)
{
UINeuralNetworkWeightPanel toBeDestroyed = Nodes[i];
Nodes.RemoveAt(i);
Destroy(toBeDestroyed);
}
}