Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Creating the final MaterialApp

At last, we create the final MaterialApp. We create the main.dart file, which provides the point of execution for the whole code. We create a stateless widget called FaceDetectorApp, which is used to return a MaterialApp specifying the title, theme, and home screen:

class FaceDetectorApp extends StatelessWidget {  @override  Widget build(BuildContext context) {    return new MaterialApp(      debugShowCheckedModeBanner: false,      title: 'Flutter Demo',      theme: new ThemeData(        primarySwatch: Colors.blue,      ),      home: new FaceDetectorHome(),    );  }}

Now we define the main() method to execute the whole application by passing in the instance of FaceDetectorApp() as follows:

void main() => runApp(new FaceDetectorApp());

The whole code ...