How To Use TensorFlow lite in Flutter?

Working with TensorFlow Lite in Flutter

Assuming that we have the tflite model, then:

1.Adding this package in pubspec file:

dependencies:
  tflite: ^1.0.5

2.add model in the assets folder and update pubspec file:

flutter:
  assets:
    - assets/model_unquant.tflite
    - assets/labels.txt

3.Load the model:

static Future<String> loadModel() async{  return Tflite.loadModel(
    model: "assets/model_unquant.tflite",
    labels: "assets/labels.txt",
  );
}
void initState() {
  super.initState();  
//Load TFLite Model
  TFLiteHelper.loadModel().then((value) {
    setState(() {
      modelLoaded = true;
    });
  });
}

4.use the output from Camera Controller to feed to provide frames to TensorFlow lite.

await Tflite.runModelOnFrame(
        bytesList: image.planes.map((plane) {
          return plane.bytes;
        }).toList(),
        numResults: 5)
    .then((value) {  
if (value.isNotEmpty) {
     //Do something with the results
  }});

umair13adil/tensorflow_lite_flutter