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public sealed class modelOutput
public TensorFloat Model_outputs0 = TensorFloat.Create(new long[] { 1, 4 });
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);
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