private async Task EvaluateVideoFrameAsync(VideoFrame inputFrame)
{
if (inputFrame != null)
{
try
{
// Get ONNX file
string modelPath
= Path.Combine(Windows.ApplicationModel.Package.Current.InstalledLocation.Path, "FruitDetection.onnx");
var modelFile = await StorageFile.GetFileFromPathAsync(modelPath);
// Create WinML Model
var model = new FruitDetectionModel();
var learninModel = await model.CreateFruitDetectionModel(modelFile);
// Set image(VideoFrame)
var input = new FruitDetectionModelInput
{
data = inputFrame
};
// Detect image
var output = await learninModel.EvaluateAsync(input);
ResultText.Text = output.classLabel[0];
ResultText.Visibility = Visibility.Visible;
}
catch (Exception ex)
{
}
}
}
public async Task <FruitDetectionModelOutput> EvaluateAsync(FruitDetectionModelInput input)
{
FruitDetectionModelOutput output = new FruitDetectionModelOutput();
LearningModelBindingPreview binding = new LearningModelBindingPreview(learningModel);
binding.Bind("data", input.data);
binding.Bind("classLabel", output.classLabel);
binding.Bind("loss", output.loss);
LearningModelEvaluationResultPreview evalResult = await learningModel.EvaluateAsync(binding, string.Empty);
return(output);
}