Test method for the Windows Machine Learning, EmotionRecognition sample.

TestRecognizer.cs

// Load the model
var recognizer = new EmotionRecognizer();
await recognizer.LoadModelAsync());

// Trigger file picker to select an image file
var fileOpenPicker = new FileOpenPicker();
fileOpenPicker.SuggestedStartLocation = PickerLocationId.PicturesLibrary;
fileOpenPicker.FileTypeFilter.Add(".jpg");
fileOpenPicker.FileTypeFilter.Add(".png");
fileOpenPicker.ViewMode = PickerViewMode.Thumbnail;
var selectedStorageFile = await fileOpenPicker.PickSingleFileAsync();

SoftwareBitmap softwareBitmap;
using (IRandomAccessStream stream = await selectedStorageFile.OpenAsync(FileAccessMode.Read))
{
    // Create a decoder from the stream 
    var decoder = await BitmapDecoder.CreateAsync(stream);

    // Get the SoftwareBitmap representation of the file in BGRA8 format
    var = await decoder.GetSoftwareBitmapAsync();
    softwareBitmap = SoftwareBitmap.Convert(softwareBitmap, BitmapPixelFormat.Gray8,
                                            BitmapAlphaMode.Ignore);
}

// Encapsulate the image within a VideoFrame to be bound and evaluated
var inputImage = VideoFrame.CreateWithSoftwareBitmap(softwareBitmap);

// Evaluate the image
var result  = await recognizer.EvaluateAsync(inputImage);