private void test()
{
// Show accuracy
var result = ocrModel.TestModel(1024);
txtResult.Text = "Accuracy: " + (result.TotalAccuracy * 100.0).ToString("0.00") + "%"
+ Environment.NewLine + string.Join(Environment.NewLine, result.Accuracy.Select(
(a, i) => i + ": " + (a * 100.0).ToString("0.00") + "%"));
// Create gallery
var image = NetworkVisualizer.DrawTestGallery(ocrModel, characterSource, 8, 8);
imgNetwork.Source = image;
}
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;
}
