Flutter面部识别或处理插件flutter_face_pile的使用

发布于 1周前 作者 phonegap100 来自 Flutter

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。

Flutter Face Pile 示例

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

1 回复

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。

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