public async Task <MpsnnGraphModelOutput> EvaluateAsync(MpsnnGraphModelInput input)
{
MpsnnGraphModelOutput output = new MpsnnGraphModelOutput();
LearningModelBindingPreview binding = new LearningModelBindingPreview(_learningModel);
binding.Bind("image", input.Image);
binding.Bind("grid", output.Grid);
LearningModelEvaluationResultPreview evalResult = await _learningModel.EvaluateAsync(binding, string.Empty);
return(output);
}
private async void CameraHelper_FrameArrived(object sender, Microsoft.Toolkit.Uwp.Helpers.FrameEventArgs e)
{
if (e?.VideoFrame?.SoftwareBitmap == null)
{
return;
}
//var input = new TinyYoloV2ModelInput { Image = e.VideoFrame };
var input = new MpsnnGraphModelInput {
Image = e.VideoFrame
};
_stopwatch = Stopwatch.StartNew();
var output = await _model.EvaluateAsync(input);
_stopwatch.Stop();
_boxes = _parser.ParseOutputs(output.Grid.ToArray());
await Dispatcher.RunAsync(CoreDispatcherPriority.Normal, async() =>
{
TextBlockInformation.Text = $"{1000f / _stopwatch.ElapsedMilliseconds,4:f1} fps on Width {_yoloCanvasActualWidth} x Height {_yoloCanvasActualHeight}";
DrawOverlays(e.VideoFrame);
});
}