Flutter面部识别或处理插件flutter_face_pile的使用
Flutter面部识别或处理插件flutter_face_pile的使用
介绍
Flutter Face Pile 是一个用于显示重叠头像图像的小组件,通常用于表示用户加入和离开某个组的情况。该组件最初由 @SuperDeclarative 提供,并遵循 BSD-3-Clause 许可证。
开始使用
添加依赖
首先,在你的 pubspec.yaml
文件中添加 flutter_face_pile
依赖:
dependencies:
flutter_face_pile: ^0.0.3
然后在 Dart 代码中导入该包:
import 'package:flutter_face_pile/flutter_face_pile.dart';
使用示例
以下是一个简单的示例,展示了如何使用 FacePile
组件来显示一组用户头像:
import 'package:flutter/material.dart';
import 'package:flutter_face_pile/flutter_face_pile.dart';
import 'package:flutter/services.dart' show NetworkImage;
void main() {
runApp(MyApp());
}
class MyApp extends StatelessWidget {
[@override](/user/override)
Widget build(BuildContext context) {
return MaterialApp(
title: 'Flutter Face Pile Demo',
theme: ThemeData(
primarySwatch: Colors.blue,
),
home: FacePileScreen(),
);
}
}
class FacePileScreen extends StatelessWidget {
[@override](/user/override)
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Flutter Face Pile'),
),
body: Center(
child: FacePile(
faces: [
FaceHolder(
id: '1',
name: 'user 1',
avatar: NetworkImage('https://i.pravatar.cc/300?img=1'),
),
FaceHolder(
id: '2',
name: 'user 2',
avatar: NetworkImage('https://i.pravatar.cc/300?img=2'),
),
FaceHolder(
id: '3',
name: 'user 3',
avatar: NetworkImage('https://i.pravatar.cc/300?img=3'),
),
],
faceSize: 50,
facePercentOverlap: .4,
borderColor: Colors.white,
),
),
);
}
}
完整示例 Demo
以下是一个更完整的示例,包含动态添加和移除用户的按钮:
import 'dart:math';
import 'package:flutter/material.dart';
import 'package:flutter_random_user/flutter_random_user.dart'; // 需要添加此包以生成随机用户数据
import 'package:flutter_face_pile/flutter_face_pile.dart';
void main() {
runApp(
MaterialApp(
title: 'Flutter Face Pile',
theme: ThemeData(
primarySwatch: Colors.blue,
),
debugShowCheckedModeBanner: false,
home: const FacePileDemoScreen(),
),
);
}
class FacePileDemoScreen extends StatefulWidget {
const FacePileDemoScreen({Key? key}) : super(key: key);
[@override](/user/override)
State<FacePileDemoScreen> createState() => _FacePileDemoScreenState();
}
class _FacePileDemoScreenState extends State<FacePileDemoScreen> {
late List<FaceHolder> _availableUsers;
final _facePileUsers = <FaceHolder>[];
[@override](/user/override)
void initState() {
super.initState();
_populateFakeUsers();
}
Future<void> _populateFakeUsers() async {
final randomUsers = userGenerator(
max: 20,
loremIpsumParagraphs: 1,
loremIpsumWords: 100,
);
_availableUsers = randomUsers
.map(
(randomUser) => FaceHolder(
id: randomUser.userName,
name: randomUser.firstName,
avatar: NetworkImage(randomUser.thumbNail),
),
)
.toList();
}
void _addUserToPile() {
if (_availableUsers.isNotEmpty) {
final user = _availableUsers.removeLast();
setState(() {
_facePileUsers.add(user);
});
}
}
void _removeUserFromPile() {
if (_facePileUsers.isNotEmpty) {
final randomIndex = Random().nextInt(_facePileUsers.length);
setState(() {
final user = _facePileUsers.removeAt(randomIndex);
_availableUsers.insert(0, user);
});
}
}
[@override](/user/override)
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(title: const Text('Flutter Face Pile')),
body: Center(
child: ConstrainedBox(
constraints: const BoxConstraints(maxWidth: 200),
child: FacePile(
faces: _facePileUsers,
faceSize: 50,
facePercentOverlap: .4, // 40% face overlap.
borderColor: Colors.white,
),
),
),
floatingActionButton: Row(
mainAxisSize: MainAxisSize.min,
children: [
FloatingActionButton(
onPressed: _removeUserFromPile,
mini: true,
child: const Icon(Icons.remove),
),
const SizedBox(width: 24),
FloatingActionButton(
onPressed: _addUserToPile,
mini: true,
child: const Icon(Icons.add),
),
],
),
);
}
}
更多关于Flutter面部识别或处理插件flutter_face_pile的使用的实战系列教程也可以访问 https://www.itying.com/category-92-b0.html
更多关于Flutter面部识别或处理插件flutter_face_pile的使用的实战系列教程也可以访问 https://www.itying.com/category-92-b0.html
当然,以下是一个关于如何在Flutter应用中使用flutter_face_pile
插件进行面部识别或处理的示例代码。请注意,flutter_face_pile
可能是一个假设的插件名称,因为实际上Flutter社区中并没有一个名为flutter_face_pile
的广泛认可的面部识别插件。不过,我们可以基于常见的面部识别插件(如flutter_mlkit
,它依赖于Google ML Kit)来提供一个示例。
在这个示例中,我们将使用flutter_mlkit
插件中的面部检测功能。如果你确实在使用一个名为flutter_face_pile
的插件,并且它的API与flutter_mlkit
相似,这个示例也可以作为一个参考。
首先,确保在你的pubspec.yaml
文件中添加flutter_mlkit
依赖:
dependencies:
flutter:
sdk: flutter
flutter_mlkit: ^x.y.z # 请替换为实际的版本号
然后,运行flutter pub get
来安装依赖。
接下来,在你的Flutter应用中实现面部检测功能。以下是一个简单的示例代码:
import 'package:flutter/material.dart';
import 'package:flutter_mlkit/flutter_mlkit.dart';
import 'dart:typed_data';
import 'dart:ui' as ui;
void main() {
runApp(MyApp());
}
class MyApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
home: FaceDetectionScreen(),
);
}
}
class FaceDetectionScreen extends StatefulWidget {
@override
_FaceDetectionScreenState createState() => _FaceDetectionScreenState();
}
class _FaceDetectionScreenState extends State<FaceDetectionScreen> {
List<Face> _faces = [];
Uint8List? _imageBytes;
Future<void> _pickImage() async {
final pickedFile = await ImagePicker().pickImage(source: ImageSource.gallery);
if (pickedFile != null) {
setState(() {
_imageBytes = pickedFile.bytes;
});
_detectFaces();
}
}
Future<void> _detectFaces() async {
if (_imageBytes == null) return;
final inputImage = InputImage.fromBytes(
bytes: _imageBytes!,
width: 640, // 假设图像宽度为640,实际使用时应该根据图像的实际尺寸设置
height: 480, // 假设图像高度为480,实际使用时应该根据图像的实际尺寸设置
rotation: 90, // 根据需要设置图像旋转角度
);
final result = await FaceDetector().processImage(inputImage);
setState(() {
_faces = result.faces!;
});
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('面部检测'),
),
body: Column(
children: [
Expanded(
child: _imageBytes == null
? Center(child: Text('请选择一张图片'))
: Image.memory(
_imageBytes!,
fit: BoxFit.cover,
overlayColor: Colors.black.withOpacity(0.3),
child: CustomPaint(
painter: FaceOverlayPainter(_faces),
),
),
),
ElevatedButton(
onPressed: _pickImage,
child: Text('选择图片'),
),
],
),
);
}
}
class FaceOverlayPainter extends CustomPainter {
final List<Face> faces;
FaceOverlayPainter(this.faces);
@override
void paint(Canvas canvas, Size size) {
final paint = Paint()
..color = Colors.red
..style = PaintingStyle.stroke
..strokeWidth = 4.0;
for (final face in faces) {
final rect = face.boundingBox;
final left = rect.left * size.width;
final top = rect.top * size.height;
final right = rect.right * size.width;
final bottom = rect.bottom * size.height;
canvas.drawRect(
Rect.fromLTWH(left, top, right - left, bottom - top),
paint,
);
}
}
@override
bool shouldRepaint(covariant CustomPainter oldDelegate) {
return oldDelegate != this;
}
}
在这个示例中,我们使用了flutter_mlkit
插件来检测选定图像中的面部,并在检测到的面部周围绘制红色矩形框。请注意,你需要根据实际的插件API和图像尺寸调整代码。
如果你确实在使用一个名为flutter_face_pile
的插件,并且它的使用方式与flutter_mlkit
不同,请参考该插件的官方文档来调整上述代码。