/// <summary>
/// Factory method for instantiating and initializing the skill.
/// </summary>
/// <param name="executionDevice"></param>
/// <returns></returns>
public IAsyncOperation <ISkill> CreateSkillAsync(ISkillExecutionDevice executionDevice)
{
return(AsyncInfo.Run(async(token) =>
{
// Create a skill instance with the executionDevice supplied
var skillInstance = await NeuralStyleTransformerSkill.CreateAsync(this, executionDevice, styleChoice);
return skillInstance as ISkill;
}));
}
/// <summary>
/// Creates and initializes a NeuralStyleTransformerSkill instance
/// </summary>
/// <param name="descriptor"></param>
/// <param name="device"></param>
/// <returns></returns>
internal static IAsyncOperation <NeuralStyleTransformerSkill> CreateAsync(
ISkillDescriptor descriptor,
ISkillExecutionDevice device, StyleChoices Mode)
{
return(AsyncInfo.Run(async(token) =>
{
// Create instance
var skillInstance = new NeuralStyleTransformerSkill(descriptor, device);
// Load WinML model
var modelName = "candy.onnx";
switch (Mode)
{
case StyleChoices.Candy:
modelName = "candy.onnx";
break;
case StyleChoices.Mosaic:
modelName = "mosaic.onnx";
break;
case StyleChoices.Pointilism:
modelName = "pointilism.onnx";
break;
case StyleChoices.RainPrincess:
modelName = "rain_princess.onnx";
break;
case StyleChoices.Udnie:
modelName = "udnie.onnx";
break;
}
var modelFile = await StorageFile.GetFileFromApplicationUriAsync(new Uri($"ms-appx:///NeuralStyleTransformer/Models/{modelName}"));
var winmlModel = LearningModel.LoadFromFilePath(modelFile.Path);
// Create WinML session
skillInstance.m_winmlSession = new LearningModelSession(winmlModel, GetWinMLDevice(device));
// Create output frame
_outputFrame?.Dispose();
_outputFrame = new VideoFrame(BitmapPixelFormat.Bgra8, NeuralStyleTransformerConst.IMAGE_WIDTH, NeuralStyleTransformerConst.IMAGE_HEIGHT);
return skillInstance;
}));
}
