public async Task <modelOutput> EvaluateAsync(modelInput input)
{
binding.Bind("data", input.data);
var result = await session.EvaluateAsync(binding, "0");
var output = new modelOutput();
output.model_outputs0 = result.Outputs["model_outputs0"] as TensorFloat;
return(output);
}
/// <summary>
/// Detect objects from the given image.
/// The input image must be 416x416.
/// </summary>
public async Task <IList <PredictionModel> > PredictImageAsync(VideoFrame image)
{
var output = new modelOutput();
var imageFeature = ImageFeatureValue.CreateFromVideoFrame(image);
var bindings = new LearningModelBinding(Session);
bindings.Bind("data", imageFeature);
bindings.Bind("model_outputs0", output.Model_outputs0);
var result = await Session.EvaluateAsync(bindings, "0");
return(Postprocess(output.Model_outputs0));
}