tflite 0.0.3

A Flutter plugin for accessing TensorFlow Lite. Supports both iOS and Android.

example/lib/main.dart

import 'dart:async';
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:flutter/services.dart';

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

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

class MyApp extends StatefulWidget {
  @override
  _MyAppState createState() => new _MyAppState();
}

class _MyAppState extends State<MyApp> {
  File _image;
  List _recognitions;

  Future getImage() async {
    var image = await ImagePicker.pickImage(source: ImageSource.camera);
    recognizeImage(image);
    setState(() {
      _image = image;
    });
  }

  @override
  void initState() {
    super.initState();
    loadModel();
  }

  Future loadModel() async {
    try {
      String res = await Tflite.loadModel(
        model: "assets/mobilenet_v1_1.0_224.tflite",
        labels: "assets/labels.txt",
      );
      print(res);
    } on PlatformException {
      print('Failed to load model.');
    }
  }

  Future recognizeImage(File image) async {
    var recognitions = await Tflite.runModelOnImage(
      path: image.path,
      numResults: 6,
      threshold: 0.05,
    );
    print(recognitions);
    setState(() {
      _recognitions = recognitions;
    });
    // await Tflite.close();
  }

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        appBar: AppBar(
          title: const Text('tflite example app'),
        ),
        body: Stack(
          children: <Widget>[
            Center(
              child: _image == null
                  ? Text('No image selected.')
                  : Image.file(_image),
            ),
            Center(
              child: Column(
                children: _recognitions != null
                    ? _recognitions.map((res) {
                        return Text(
                          "${res["index"]} - ${res["label"]}: ${res["confidence"].toString()}",
                          style: TextStyle(
                            color: Colors.black,
                            fontSize: 20.0,
                            background: Paint()..color = Colors.white,
                          ),
                        );
                      }).toList()
                    : [],
              ),
            ),
          ],
        ),
        floatingActionButton: FloatingActionButton(
          onPressed: getImage,
          tooltip: 'Pick Image',
          child: Icon(Icons.add_a_photo),
        ),
      ),
    );
  }
}