问如何在颤振中使用训练过的tensorflow模型？

EN

# https://www.tensorflow.org/lite/convert/#convert_a_savedmodel_recommended_

import tensorflow as tf

# Convert the model
converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir) # path to the SavedModel directory
tflite_model = converter.convert()

# Save the model.
with open('model.tflite', 'wb') as f:
  f.write(tflite_model)

android/
assets/
    model.tflite
ios/
lib/

dependencies:
  flutter:
    sdk: flutter
  tflite: ^1.0.5
  .
  .

import 'package:tflite/tflite.dart';
.
.
.

class _MyAppState extends State<MyApp> {
  . . .
  @override
  void initState() {
    super.initState();
    _loading = true;

    loadModel().then((value) {
      setState(() {
        _loading = false;
      });
    });
  }

  classifyImage(File image) async {
    var output = await Tflite.runModelOnImage(
      path: image.path,
      numResults: 2,
      threshold: 0.5,
      imageMean: 127.5,
      imageStd: 127.5,
    );
    setState(() {
      _loading = false;
      _outputs = output;
    });
  }

  loadModel() async {
    await Tflite.loadModel(
      model: "assets/model_unquant.tflite",
      labels: "assets/labels.txt",
    );
  }
  @override
  void dispose() {
    Tflite.close();
    super.dispose();
  }
 . . .
}