public async Task <CNTKGraphModelOutput> EvaluateAsync(CNTKGraphModelInput input)
{
CNTKGraphModelOutput output = new CNTKGraphModelOutput();
LearningModelBindingPreview binding = new LearningModelBindingPreview(learningModel);
binding.Bind("Input338", input.Input338);
binding.Bind("Plus692_Output_0", output.Plus692_Output_0);
LearningModelEvaluationResultPreview evalResult = await learningModel.EvaluateAsync(binding, string.Empty);
return(output);
}
private async void btnLoadPicture_ClickAsync(object sender, RoutedEventArgs e)
{
lstEmotions.Items.Clear();
var filePicker = new Windows.Storage.Pickers.FileOpenPicker();
filePicker.FileTypeFilter.Add(".jpg");
filePicker.FileTypeFilter.Add(".png");
var file = await filePicker.PickSingleFileAsync();
if (file == null)
{
//operation cancelled
return;
}
BitmapImage imgBitmap = new BitmapImage(new Uri(file.Path));
imgPicture.Source = imgBitmap;
StorageFile modelFile = await StorageFile.GetFileFromApplicationUriAsync(new Uri($"ms-appx:///Assets/Emotion.onnx"));
CNTKGraphModel model = await CNTKGraphModel.CreateCNTKGraphModel(modelFile);
SoftwareBitmap softwareBitmap;
using (IRandomAccessStream stream = await file.OpenAsync(FileAccessMode.Read))
{
BitmapDecoder decoder = await BitmapDecoder.CreateAsync(stream);
softwareBitmap = await decoder.GetSoftwareBitmapAsync();
VideoFrame vf = VideoFrame.CreateWithSoftwareBitmap(softwareBitmap);
CNTKGraphModelInput input = new CNTKGraphModelInput();
input.Input338 = vf;
CNTKGraphModelOutput output = await model.EvaluateAsync(input);
foreach (var item in output.Plus692_Output_0)
{
lstEmotions.Items.Add(item.ToString());
}
}
}