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main.dart
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main.dart
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import 'dart:io';
import 'package:flutter/material.dart';
import 'package:image_picker/image_picker.dart';
import 'package:tflite/tflite.dart';
void main() => runApp(MaterialApp(
home: MyApp(),
));
class MyApp extends StatefulWidget {
@override
_MyAppState createState() => _MyAppState();
}
class _MyAppState extends State<MyApp> {
List _outputs;
File _image;
bool _loading = false;
@override
void initState() {
super.initState();
_loading = true;
loadModel().then((value) {
setState(() {
_loading = false;
});
});
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: const Text('Teachable Machine Learning'),
),
body: _loading
? Container(
alignment: Alignment.center,
child: CircularProgressIndicator(),
)
: Container(
width: MediaQuery.of(context).size.width,
child: Column(
crossAxisAlignment: CrossAxisAlignment.center,
mainAxisAlignment: MainAxisAlignment.center,
children: [
_image == null ? Container() : Image.file(_image),
SizedBox(
height: 20,
),
_outputs != null
? Text(
"${_outputs[0]["label"]}",
style: TextStyle(
color: Colors.black,
fontSize: 20.0,
background: Paint()..color = Colors.white,
),
)
: Container()
],
),
),
floatingActionButton: FloatingActionButton(
onPressed: pickImage,
child: Icon(Icons.image),
),
);
}
pickImage() async {
var image = await ImagePicker.pickImage(source: ImageSource.gallery);
if (image == null) return null;
setState(() {
_loading = true;
_image = image;
});
classifyImage(image);
}
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();
}
}