/// <summary>
/// Set up basic properties.
/// </summary>
private void Setup()
{
rfbInput = new RfbInput();
landmarkInput = new LandmarkInput();
cameraFocalLength = new Vector2(330.0f, 330.0f);
closestDistance = 10000.0f;
CameraMode = false;
ShowDetail = false;
taskRunning = false;
openCVHelper = new OpenCVBridge.OpenCVHelper();
drawingFace = new DrawingFace(imageDisplayMaxWidth, imageDisplayMaxHeight);
imageOriginalWidth = 1;
imageOriginalHeight = 1;
imageInputData = new SoftwareBitmap(BitmapPixelFormat.Bgra8, FaceDetectionHelper.inputImageDataWidth, FaceDetectionHelper.inputImageDataHeight, BitmapAlphaMode.Premultiplied);
recognizeButton.Visibility = Visibility.Collapsed;
LoadFaceDetectionModelAsync();
LoadFaceLandmarkModelAsync();
}
public async Task <RfbOutput> EvaluateAsync(RfbInput input)
{
binding.Bind("input", input.input);
var result = await session.EvaluateAsync(binding, "0");
var output = new RfbOutput();
output.scores = result.Outputs["scores"] as TensorFloat;
output.boxes = result.Outputs["boxes"] as TensorFloat;
return(output);
}