private void btnAccept_Click(object sender, EventArgs e)
{
NeuralPrototype proto = null;
try
{
proto = BuildPrototype();
using (var nn = proto.Builder.Compile())
{
var outShape = nn.OutputShape;
if (outShape.Hyperdimension != 2u)
{
throw new ApplicationException("Output shape hyperdimension not equal to 2.");
}
if (outShape[0] != 1)
{
throw new ApplicationException($"Output shape 1rd dimension not equal to 1.");
}
if (outShape[1] != Categories.Count)
{
throw new ApplicationException($"Output shape 2nd dimension not equal to {Categories.Count}.");
}
}
prototype = proto;
MessageBox.Show("Prototype created.", "Success", MessageBoxButtons.OK, MessageBoxIcon.Information);
DialogResult = DialogResult.OK;
}
catch (Exception ex)
{
proto?.Dispose();
var message = string.Empty;
if (ex is ApplicationException)
{
message = ex.Message;
}
else
{
message = "Prototype network cannot be compiled.";
}
MessageBox.Show(message, "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
}
private async void btnClassifierLoading_Click(object sender, EventArgs e)
{
if (loaded == null)
{
ofd.Title = "Open network";
ofd.Filter = "Artificial Neural Network | *.ann";
ofd.DefaultExt = ".ann";
if (ofd.ShowDialog() != DialogResult.OK)
{
return;
}
lblTestStatus.ForeColor = Color.DarkOrange;
lblTestStatus.Text = "Loading . . .";
btnClassifierLoading.Enabled = false;
var prototype = new NeuralPrototype();
try
{
loaded = await prototype.Load(ofd.FileName);
}
catch (Exception ex)
{
if (ex is FormatException fex)
{
MessageBox.Show(fex.Message, "Invalid file format", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
prototype.Dispose();
btnClassifierLoading.Enabled = true;
lblTestStatus.ForeColor = Color.DarkRed;
lblTestStatus.Text = "Loading failed!";
return;
}
var choice = DialogResult.No;
if (loaded != null)
{
if (!training && classifier == null)
{
choice = MessageBox.Show("Loading successful. Would you also like to load the neural prototype as well?", "Success", MessageBoxButtons.YesNo, MessageBoxIcon.Question);
}
btnClassifierLoading.Text = "Unload";
btnClassifierLoading.Enabled = true;
cbUseLoaded.Enabled = true;
}
else
{
if (!training && classifier == null)
{
choice = MessageBox.Show($"Neural network not found in the file, but the prototype has been found.{Environment.NewLine}Would you like to load the neural prototype?", "Warning", MessageBoxButtons.YesNo, MessageBoxIcon.Warning);
}
else
{
MessageBox.Show("Neural network not found in the file. Prototype will be discarded since training is in progress or a trained classifier is present.", "Warning", MessageBoxButtons.OK, MessageBoxIcon.Warning);
}
btnClassifierLoading.Enabled = true;
}
if (choice == DialogResult.Yes)
{
AI.BrainPrototype = prototype;
}
else
{
prototype.Dispose();
}
lblTestStatus.ForeColor = Color.DarkGreen;
lblTestStatus.Text = "Done!";
}
else
{
loaded.Dispose();
loaded = null;
btnClassifierLoading.Text = "Load";
cbUseLoaded.Enabled = false;
}
}
