public async Task <ArtCriticOutput> EvaluateAsync(ArtCriticInput input)
{
binding.Bind("data", input.data);
var result = await session.EvaluateAsync(binding, "0");
var output = new ArtCriticOutput();
output.classLabel = result.Outputs["classLabel"] as TensorString;
output.loss = result.Outputs["loss"] as IList <IDictionary <string, float> >;
return(output);
}
private async void recognizeButton_Click(object sender, RoutedEventArgs e)
{
//Bind model input with contents from InkCanvas
VideoFrame vf = await helper.GetHandWrittenImage(inkGrid);
ModelInput.data = ImageFeatureValue.CreateFromVideoFrame(vf);
// Evaluate the model
ModelOutput = await ModelGen.EvaluateAsync(ModelInput);
//Display the results
numberLabel.Text = ModelOutput.classLabel.GetAsVectorView()[0];
}
