private async void InkCanvas_StrokeCollected(object sender, InkCanvasStrokeCollectedEventArgs e)
{
// Mnist.onnx がまだ読み込まれていない場合は読み込む
if (_model == null)
{
var mnistModelFilePath = Path.Combine(
Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location),
"Mnist.onnx");
var modelFile = await Windows.Storage.StorageFile.GetFileFromPathAsync(mnistModelFilePath);
_model = await MnistModel.CreateFromStreamAsync(modelFile);
}
// 手書きの内容を画像に変換してモデルで評価する
var visual = await Helper.GetHandWrittenImageAsync(inkCanvas);
var result = await _model.EvaluateAsync(new MnistInput
{
Input3 = ImageFeatureValue.CreateFromVideoFrame(visual),
});
// 評価結果を解析して認識した数字を表示する
var orderedScores = result.Plus214_Output_0.GetAsVectorView()
.Select((score, index) => (score, index))
.OrderByDescending(x => x.score);
_results.Clear();
foreach (var text in orderedScores.Select(x => $"{x.index}(score: {x.score})"))
{
_results.Add(text);
}
}
public static async Task <MnistModel> CreateFromStreamAsync(IRandomAccessStreamReference stream)
{
MnistModel learningModel = new MnistModel();
learningModel.model = await LearningModel.LoadFromStreamAsync(stream);
learningModel.session = new LearningModelSession(learningModel.model);
learningModel.binding = new LearningModelBinding(learningModel.session);
return(learningModel);
}