face_verify 0.0.3
face_verify: ^0.0.3 copied to clipboard
A Flutter package for face detection and recognition using Google ML Kit and TensorFlow Lite, designed for offline capability and customizable overlays.
// Copyright (c) 2025 Badieh Nader.
import 'dart:developer';
import 'dart:io';
import 'package:camera/camera.dart';
import 'package:face_verify/face_verify.dart';
import 'package:flutter/material.dart';
import 'package:image_picker/image_picker.dart';
late List<CameraDescription> cameras;
Future<void> main() async {
WidgetsFlutterBinding.ensureInitialized();
cameras = await availableCameras();
runApp(const MyApp());
}
class MyApp extends StatelessWidget {
const MyApp({super.key});
// This widget is the root of your application.
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Flutter Demo',
theme: ThemeData(
colorScheme: ColorScheme.fromSeed(seedColor: Colors.deepPurple),
useMaterial3: true,
),
home: const MyHomePage(),
);
}
}
class MyHomePage extends StatefulWidget {
const MyHomePage({
super.key,
});
@override
State<MyHomePage> createState() => _MyHomePageState();
}
class _MyHomePageState extends State<MyHomePage> {
List<UserModel> users = [];
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
backgroundColor: Theme.of(context).colorScheme.inversePrimary,
title: Text('Face Recognition demo'),
),
body: Center(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: <Widget>[
ElevatedButton(
onPressed: () async {
// Pick multiple images.
final ImagePicker picker = ImagePicker();
final List<XFile> images = await picker.pickMultiImage();
List<RegisterUserInputModel> selectedImages = images.map(
(e) {
log(e.name);
return RegisterUserInputModel(
name: e.name,
imagePath: e.path,
);
},
).toList();
users = await registerUsers(
registerUserInputs: selectedImages,
cameraDescription: cameras[1],
);
setState(() {});
},
child: Text('select images')),
ElevatedButton(
onPressed: () async {
Set<UserModel>? recognizedUsers = await Navigator.push(
context,
MaterialPageRoute(
builder: (context) => DetectionView(
users: users,
cameraDescription: cameras[1],
),
));
if (recognizedUsers != null && recognizedUsers.isNotEmpty) {
log('recognized users : $recognizedUsers');
}
},
child: Text('check user')),
Expanded(
child: users.isEmpty
? Center(
child: SizedBox(
child: Text('No users found'),
),
)
: ListView.builder(
itemBuilder: (context, index) => SizedBox(
height: 100,
child: Card(
child: Row(
children: [
Text(users[index].name),
Image.file(File(users[index].image ?? '')),
],
),
)),
itemCount: users.length,
),
),
],
),
),
// This trailing comma makes auto-formatting nicer for build methods.
);
}
}