private void btnBrowse_Click(object sender, RoutedEventArgs e)
{
var dialog = new OpenFileDialog
{
Filter = "Image files (*.bmp;*.png;*.jpg;*.jpeg)|*.bmp;*.png;*.jpg;*.jpeg|All files (*.*)|*.*"
};
if (dialog.ShowDialog() == true)
{
var image = new BitmapImage(new Uri(dialog.FileName));
currentInput = MyBitmapTools.GetArray(image);
recognize();
}
}
private void recognize()
{
// Assumes currentInput is set correctly
// Show input
imgInput.Source = MyBitmapTools.GetImageGray8(currentInput);
// Feed forward
var result = ocrModel.ExecuteSingle(currentInput);
txtResult.Text = "Recog: " + result.MostConfident + string.Join("",
Enumerable.Range('0', 10).Select(c => Environment.NewLine +
(char)c + ": " + result.GetProbability((char)c).ToString("0.0000")));
// Visualize full network
var image = NetworkVisualizer.DrawNetworkSingle((ocrModel as NeuralOCRModel).NeuralNetwork, currentInput);
imgNetwork.Source = image;
}
public SingleResult ExecuteSingle(float[,] input)
{
float[] output = NeuralNetwork.FeedForward(MyBitmapTools.ReshapeArray(input));
return(new SingleResult(CreateDictFromProbs(output)));
}
public LabeledCharacter(char character, float[,] image)
{
Character = character;
Image = image;
NetworkInput = MyBitmapTools.ReshapeArray(image);
}