private async void recognizeButton_Click(object sender, RoutedEventArgs e)
{
//Bind model input with contents from InkCanvas
VideoFrame vf = await helper.GetHandWrittenImage(inkGrid);
inkshapesInput.data = ImageFeatureValue.CreateFromVideoFrame(vf);
//Evaluate the model
inkshapesOutput = await modelGen.EvaluateAsync(inkshapesInput);
var guessedTag = inkshapesOutput.classLabel.GetAsVectorView().First();
var loss = inkshapesOutput?.loss?.FirstOrDefault();
float guessedPercentage = 0f;
if (loss != null)
{
var entry = loss.ToList().OrderByDescending(kv => kv.Value).FirstOrDefault();
guessedPercentage = entry.Value;
}
var text = $"{guessedTag} ({guessedPercentage.ToString("P")})";
////Display the results
numberLabel.Text = text;
}
public async Task <inkshapesOutput> EvaluateAsync(inkshapesInput input)
{
binding.Bind("data", input.data);
var result = await session.EvaluateAsync(binding, "0");
var output = new inkshapesOutput();
output.classLabel = result.Outputs["classLabel"] as TensorString;
output.loss = result.Outputs["loss"] as IList <IDictionary <string, float> >;
return(output);
}
