public async Task <TinyYOLOModelModelOutput> EvaluateAsync(TinyYOLOModelModelInput input)
{
TinyYOLOModelModelOutput output = new TinyYOLOModelModelOutput();
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 Task EvaluteImageAsync(VideoFrame videoFrame, bool isImage)
{
try
{
var startTime = DateTime.Now;
if (model == null)
{
var modelFile = await StorageFile.GetFileFromApplicationUriAsync(new Uri("ms-appx:///Model/TinyYOLO.onnx"));
if (modelFile != null)
{
model = new TinyYOLOModelModel();
await MLHelper.CreateModelAsync(modelFile, model);
}
}
var input = new TinyYOLOModelModelInput()
{
image = videoFrame
};
var res = await model.EvaluateAsync(input) as TinyYOLOModelModelOutput;
if (res != null)
{
var boxes = model.ComputeBoundingBoxes(res.grid);
await DrawDetectedObjectRectAsync(boxes, isImage);
await Dispatcher.RunAsync(Windows.UI.Core.CoreDispatcherPriority.High, () =>
{
previewControl.EvalutionTime = (DateTime.Now - startTime).TotalSeconds.ToString();
});
}
}
catch (Exception ex)
{
await AlertHelper.ShowMessageAsync(ex.ToString());
}
}
