public async Task <celebrityOutput> EvaluateAsync(celebrityInput input)
{
binding.Bind("data", input.data);
var result = await session.EvaluateAsync(binding, "0");
var output = new celebrityOutput();
output.classLabel = result.Outputs["classLabel"] as TensorString;
output.loss = result.Outputs["loss"] as IList <Dictionary <string, float> >;
return(output);
}
private async void Button_Click(object sender, RoutedEventArgs e)
{
var picker = new Windows.Storage.Pickers.FileOpenPicker();
picker.ViewMode = Windows.Storage.Pickers.PickerViewMode.Thumbnail;
picker.SuggestedStartLocation = Windows.Storage.Pickers.PickerLocationId.PicturesLibrary;
picker.FileTypeFilter.Add(".jpg");
picker.FileTypeFilter.Add(".jpeg");
picker.FileTypeFilter.Add(".png");
Windows.Storage.StorageFile file = await picker.PickSingleFileAsync();
if (file != null)
{
Stopwatch sw = new Stopwatch();
sw.Start();
txtFilePath.Text = file.Path;
SoftwareBitmap bitmap;
using (var s = await file.OpenAsync(FileAccessMode.Read))
{
var decoder = await BitmapDecoder.CreateAsync(s);
bitmap = await decoder.GetSoftwareBitmapAsync();
bitmap = SoftwareBitmap.Convert(bitmap, BitmapPixelFormat.Bgra8, BitmapAlphaMode.Premultiplied);
}
var images = new SoftwareBitmapSource();
await images.SetBitmapAsync(bitmap);
imgCeleb.Source = images;
//VideoFrame
VideoFrame inputimage = VideoFrame.CreateWithSoftwareBitmap(bitmap);
inputimage = await GetCropedImage(inputimage);
celebInput.data = ImageFeatureValue.CreateFromVideoFrame(inputimage);
celebOutput = await modelGen.EvaluateAsync(celebInput);
var resultVector = celebOutput.classLabel.GetAsVectorView();
txtcelebName.Text = resultVector[0];
sw.Stop();
txtProcTime.Text = $"{sw.Elapsed}";
Debug.WriteLine($"process time = {sw.Elapsed}");
}
else
{
txtFilePath.Text = "Operation cancelled.";
}
}
