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."; } }