Flutter面部识别插件esfaceid_flutter的使用

esfaceid_flutter

这是一个新的Flutter插件项目。

使用步骤

初始化插件

首先，确保你已经在 pubspec.yaml 文件中添加了 esfaceid_flutter 插件依赖：

dependencies:
  esfaceid_flutter: ^版本号

然后运行以下命令以更新依赖：

flutter pub get

接下来，在你的 Dart 文件中导入该插件并初始化引擎：

import 'package:esfaceid_flutter/esfaceid_flutter.dart';

void main() {
  runApp(const MyApp());
}

class _MyAppState extends State<MyApp> {
  final _esfaceidFlutterPlugin = EsfaceidFlutter();

  [@override](/user/override)
  void initState() {
    super.initState();
    initPlatformState();
  }

  Future<void> initPlatformState() async {
    try {
      _esfaceidFlutterPlugin.initEngine();
    } catch (e) {
      print('Failed to initialize engine: $e');
    }
  }
}

验证初始化

在初始化完成后，调用 verifyInit 方法进行验证。此方法需要一个配置参数，例如 livingType 和 age。

Map<String, dynamic> config = {
  "livingType": 23,
  "age": 30,
};

Map<String, dynamic> result = await _esfaceidFlutterPlugin.verifyInit(config);
if (result['code'] == "ELD_SUCCESS") {
  print("验证成功！");
} else {
  print("验证失败: ${result['msg']}");
}

发起活体检测

如果验证成功，你可以通过调用 startLivingDetect 方法发起活体检测。此方法需要一个包含 token 和 cameraID 的配置参数。

final String apiUrl = 'http://eface.market.alicloudapi.com/init';
final Map<String, String> headers = {
  'Content-Type': 'application/x-www-form-urlencoded',
  'Authorization': 'APPCODE 替换为你的APPCODE',
  'X-Ca-Nonce': generateRandomNonce(),
};

final Map<String, String> requestBody = {
  'initMsg': result['data'],
};

final String encodedBody = requestBody.entries.map((entry) {
  return '${entry.key}=${entry.value}';
}).join('&');

final response = await http.post(
  Uri.parse(apiUrl),
  headers: headers,
  body: encodedBody,
);

if (response.statusCode == 200) {
  print(response.body);
  Map<String, dynamic> resultBody = json.decode(response.body);
  Map<String, dynamic> resultxxx = await _esfaceidFlutterPlugin.startLivingDetect({
    "token": resultBody['token'],
    "cameraID": "REAR",
  });
  print("code: ${resultxxx['code']}");
  print("msg: ${resultxxx['msg']}");
  print("data: ${resultxxx['data']}");
} else {
  throw Exception('Failed to make POST request');
}

完整示例代码

以下是完整的示例代码，展示了如何使用 esfaceid_flutter 插件完成面部识别的基本流程：

import 'dart:convert';
import 'dart:math';

import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:esfaceid_flutter/esfaceid_flutter.dart';
import 'package:http/http.dart' as http;

void main() {
  runApp(const MyApp());
}

class MyApp extends StatefulWidget {
  const MyApp({Key? key}) : super(key: key);

  [@override](/user/override)
  State<MyApp> createState() => _MyAppState();
}

class _MyAppState extends State<MyApp> {
  final _esfaceidFlutterPlugin = EsfaceidFlutter();

  [@override](/user/override)
  void initState() {
    super.initState();
    initPlatformState();
  }

  Future<void> initPlatformState() async {
    try {
      _esfaceidFlutterPlugin.initEngine();
    } catch (e) {
      print('Failed to initialize engine: $e');
    }
  }

  String generateRandomNonce() {
    final random = Random();
    final nonce = random.nextInt(1000000);
    return nonce.toString();
  }

  [@override](/user/override)
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        appBar: AppBar(
          title: const Text('Flutter面部识别示例'),
        ),
        body: Column(
          children: [
            ElevatedButton(
              onPressed: () async {
                print('验证按钮按下！');
                Map<String, dynamic> config = {
                  "livingType": 23,
                  "age": 30,
                };

                Map<String, dynamic> result = await _esfaceidFlutterPlugin.verifyInit(config);
                String code = result['code'];
                String initMsg = result['data'];
                print("code: ${result['code']}");
                print("msg: ${result['msg']}");
                print("data: ${result['data']}");

                if (code == "ELD_SUCCESS") {
                  final String apiUrl = 'http://eface.market.alicloudapi.com/init';
                  final Map<String, String> headers = {
                    'Content-Type': 'application/x-www-form-urlencoded',
                    'Authorization': 'APPCODE 替换为你的APPCODE',
                    'X-Ca-Nonce': generateRandomNonce(),
                  };

                  final Map<String, String> requestBody = {
                    'initMsg': initMsg,
                  };

                  final String encodedBody = requestBody.entries.map((entry) {
                    return '${entry.key}=${entry.value}';
                  }).join('&');

                  final response = await http.post(
                    Uri.parse(apiUrl),
                    headers: headers,
                    body: encodedBody,
                  );

                  if (response.statusCode == 200) {
                    print(response.body);
                    Map<String, dynamic> resultBody = json.decode(response.body);
                    Map<String, dynamic> resultxxx = await _esfaceidFlutterPlugin.startLivingDetect({
                      "token": resultBody['token'],
                      "cameraID": "REAR",
                    });
                    print("code: ${resultxxx['code']}");
                    print("msg: ${resultxxx['msg']}");
                    print("data: ${resultxxx['data']}");
                  } else {
                    throw Exception('Failed to make POST request');
                  }
                }
              },
              child: const Text('启动刷脸'),
            ),
          ],
        ),
      ),
    );
  }
}