public static async Task <OnnxModel> CreateFromStreamAsync(StorageFile modelFile)
{
OnnxModel learningModel = new OnnxModel();
learningModel.model = await LearningModel.LoadFromStorageFileAsync(modelFile);
learningModel.session = new LearningModelSession(learningModel.model);
learningModel.binding = new LearningModelBinding(learningModel.session);
var inputFeature = learningModel.model.InputFeatures[0];
learningModel.inName = inputFeature.Name;
var inputTensorFeature = inputFeature as TensorFeatureDescriptor;
learningModel.InWidth = (int)inputTensorFeature.Shape[3];
learningModel.InHeight = (int)inputTensorFeature.Shape[2];
var outputFeature = learningModel.model.OutputFeatures[0];
learningModel.outName = outputFeature.Name;
var outputTensorFeature = outputFeature as TensorFeatureDescriptor;
learningModel.OutWidth = (int)outputTensorFeature.Shape[3];
learningModel.OutHeight = (int)outputTensorFeature.Shape[2];
Debug.Log(string.Format("Input Feature Name: {0}", learningModel.inName));
Debug.Log(string.Format("Output Feature Name: {0}", learningModel.outName));
Debug.Log(string.Format("Input Width, Height: {0}, {1}", learningModel.InWidth, learningModel.InHeight));
Debug.Log(string.Format("Output Width, Height: {0}, {1}", learningModel.OutWidth, learningModel.OutHeight));
return(learningModel);
}
private async Task LoadModelAsync(string modelName)
{
var onnx = await StorageFile.GetFileFromApplicationUriAsync(
new Uri($"ms-appx:///Assets/MLModel/{modelName}.onnx"));
onnxModel = await OnnxModel.CreateFromStreamAsync(onnx);
}