Flutter光学字符识别插件flutter_ocr_camera的使用

Flutter光学字符识别插件flutter_ocr_camera的使用

用户可以通过传递新的可选配置来定制插件。这些配置包括:

  1. 标题字符串(title)
  2. 标题文本样式(tStyle)
  3. 第一段描述字符串(firstDescription)
  4. 第一段描述文本样式(fdStyle)
  5. 第二段描述字符串(secondDescription)
  6. 第二段描述文本样式(sdStyle)
  7. 通过拍摄照片确认使用的询问字符串(questionToConfirmUseByTakenPhoto)
  8. 通过拍摄照片确认使用的询问文本样式(qtcubtpStyle)
  9. 拒绝文本字符串(rejectText)
  10. 拒绝文本文本样式(rtStyle)
  11. 确认文本字符串(confirmText)
  12. 确认文本文本样式(cStyle)
  13. 拍照按钮小部件(takePhotoButton)

完整示例代码

import 'dart:io';

import 'package:camera/camera.dart';
import 'package:flutter/material.dart';
import 'package:flutter_ocr_camera/ocr_camera_widget.dart';

void main() {
  WidgetsFlutterBinding.ensureInitialized();
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  [@override](/user/override)
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter Demo',
      theme: ThemeData(
        primarySwatch: Colors.blue,
      ),
      home: MyHomePage(title: 'Flutter Demo Flutter OCR camera package'),
    );
  }
}

class MyHomePage extends StatefulWidget {
  MyHomePage({Key? key, required this.title}) : super(key: key);

  final String title;

  [@override](/user/override)
  _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State<MyHomePage> {
  late List<CameraDescription> _cameras;
  String _imgPath = '';

  [@override](/user/override)
  Widget build(BuildContext context) {
    Size _size = MediaQuery.of(context).size;
    return Scaffold(
      appBar: AppBar(
        title: Text(widget.title),
      ),
      body: Container(
        constraints: BoxConstraints.expand(),
        child: Visibility(
          visible: _imgPath.isNotEmpty,
          child: Image.file(
            File(_imgPath),
            width: _size.width,
            height: _size.height,
            fit: BoxFit.cover,
          ),
          replacement: Text('Image empty!'),
        ),
      ),
      floatingActionButton: Column(
        mainAxisAlignment: MainAxisAlignment.end,
        children: [
          Row(
            mainAxisAlignment: MainAxisAlignment.center,
            children: [
              TextButton(
                onPressed: () async {
                  _cameras = await availableCameras();
                  Navigator.push(
                      context,
                      MaterialPageRoute(
                          builder: (context) => OCRCameraWidget(
                            camera: _cameras,
                            maskType: MaskType.selfie,
                            onResult: (XFile? value) {
                              setState(() {
                                _imgPath = value!.path;
                              });
                              print(
                                'XFile ----> ${value!.path}',
                              );
                            },
                          )));
                },
                child: Text('Take a selfie'),
              ),
              TextButton(
                onPressed: () async {
                  _cameras = await availableCameras();
                  Navigator.push(
                      context,
                      MaterialPageRoute(
                          builder: (context) => OCRCameraWidget(
                            camera: _cameras,
                            onResult: (XFile? value) {
                              setState(() {
                                _imgPath = value!.path;
                              });
                              print(
                                'XFile ----> ${value!.path}',
                              );
                            },
                          )));
                },
                child: Text('Take a photo'),
              ),
            ],
          )
        ],
      ),
    );
  }
}

更多关于Flutter光学字符识别插件flutter_ocr_camera的使用的实战教程也可以访问 https://www.itying.com/category-92-b0.html

1 回复

更多关于Flutter光学字符识别插件flutter_ocr_camera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,以下是如何在Flutter项目中使用flutter_ocr_camera插件进行光学字符识别(OCR)的示例代码。这个插件允许你使用设备的摄像头捕捉图像,并对图像中的文本进行识别。

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

dependencies:
  flutter:
    sdk: flutter
  flutter_ocr_camera: ^0.5.0  # 请检查最新版本号并替换

然后运行flutter pub get来安装依赖。

接下来,你需要配置Android和iOS的权限,以便应用可以访问摄像头。

Android配置

android/app/src/main/AndroidManifest.xml文件中添加以下权限:

<uses-permission android:name="android.permission.CAMERA" />
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />

iOS配置

ios/Runner/Info.plist文件中添加以下权限:

<key>NSCameraUsageDescription</key>
<string>App needs access to the camera</string>
<key>NSPhotoLibraryAddUsageDescription</key>
<string>App needs access to the photo library</string>
<key>NSPhotoLibraryUsageDescription</key>
<string>App needs access to the photo library</string>

Flutter代码示例

以下是一个简单的Flutter应用示例,展示如何使用flutter_ocr_camera插件:

import 'package:flutter/material.dart';
import 'package:flutter_ocr_camera/flutter_ocr_camera.dart';

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

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter OCR Camera Demo',
      theme: ThemeData(
        primarySwatch: Colors.blue,
      ),
      home: MyHomePage(),
    );
  }
}

class MyHomePage extends StatefulWidget {
  @override
  _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State<MyHomePage> {
  String? recognizedText;

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text('Flutter OCR Camera Demo'),
      ),
      body: Center(
        child: Column(
          mainAxisAlignment: MainAxisAlignment.center,
          children: <Widget>[
            ElevatedButton(
              onPressed: () async {
                // 打开OCR相机
                final result = await FlutterOcrCamera.scanOcrText();
                if (result != null) {
                  setState(() {
                    recognizedText = result;
                  });
                } else {
                  recognizedText = 'No text recognized';
                }
              },
              child: Text('Scan OCR Text'),
            ),
            SizedBox(height: 20),
            if (recognizedText != null)
              Text(
                'Recognized Text:\n$recognizedText',
                style: TextStyle(fontSize: 18),
              ),
          ],
        ),
      ),
    );
  }
}

代码说明

  1. 依赖导入:首先导入必要的包,包括flutter/material.dartflutter_ocr_camera/flutter_ocr_camera.dart

  2. 应用入口MyApp类作为应用的入口,设置主题和主页。

  3. 主页MyHomePage是一个有状态组件,用于处理OCR扫描结果。

  4. 按钮点击事件:在按钮点击事件中,调用FlutterOcrCamera.scanOcrText()方法启动OCR相机。扫描完成后,将结果存储在recognizedText变量中,并使用setState方法更新UI。

  5. 结果显示:如果recognizedText不为空,则在页面上显示识别的文本。

这个示例代码展示了如何使用flutter_ocr_camera插件进行基本的OCR操作。你可以根据需要进一步扩展和自定义这个示例。

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