private async void CameraHelper_FrameArrived(object sender, Microsoft.Toolkit.Uwp.Helpers.FrameEventArgs e)
{
if (e?.VideoFrame?.SoftwareBitmap == null)
{
return;
}
_stopwatch = Stopwatch.StartNew();
ImageFeatureValue _image = ImageFeatureValue.CreateFromVideoFrame(e.VideoFrame);
var input = new Yolov2Input
{
image = _image
};
var output = _model.EvaluateAsync(input).GetAwaiter().GetResult();
_stopwatch.Stop();
IReadOnlyList <float> vectorImage = output.grid.GetAsVectorView();
IList <float> imageList = vectorImage.ToList();
_boxes = _parser.ParseOutputs(vectorImage.ToArray());
var maxIndex = imageList.IndexOf(imageList.Max());
await Dispatcher.RunAsync(CoreDispatcherPriority.Normal, async() =>
{
TextBlockInformation.Text = $"{1000f / _stopwatch.ElapsedMilliseconds,4:f1} fps on Width {_cameraModel.Width} x Height {_cameraModel}";
DrawOverlays(e.VideoFrame);
});
}
public async Task <Yolov2Output> EvaluateAsync(Yolov2Input input)
{
Binding.Bind("image", input.image);
var result = await Session.EvaluateAsync(Binding, "0");
var output = new Yolov2Output
{
grid = result.Outputs["grid"] as TensorFloat
};
return(output);
}
