Flutter光学字符识别插件tesseract的使用
Flutter光学字符识别插件tesseract的使用
该插件基于 Tesseract OCR。此插件使用了 Tesseract4Android 和 SwiftyTesseract。
示例代码
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:tesseract/tesseract.dart';
void main() async {
WidgetsFlutterBinding.ensureInitialized();
runApp(MyApp());
}
class MyApp extends StatelessWidget {
[@override](/user/override)
Widget build(BuildContext context) {
return MaterialApp(
debugShowCheckedModeBanner: false,
title: 'Tesseract Demo',
theme: ThemeData(
primarySwatch: Colors.blue,
),
home: Home(),
);
}
}
class Home extends StatelessWidget {
[@override](/user/override)
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Tesseract Demo'),
centerTitle: true,
),
body: SafeArea(
child: Center(
child: SingleChildScrollView(
child: Padding(
padding: EdgeInsets.symmetric(horizontal: 16),
child: Column(
children: [
ElevatedButton(
onPressed: () {
initTesseract();
},
child: Text('初始化 Tesseract')),
],
),
),
),
),
),
);
}
initTesseract() async {
// 初始化 Tesseract 并设置语言为英语
var result = await Tesseract.initTesseract(language: 'eng');
print(result);
}
}
// 自定义卡片组件
class CustomCard extends StatelessWidget {
final String label;
final Widget viewPage;
final FeatureStatus featureStatus;
const CustomCard({
required this.label,
required this.viewPage,
required this.featureStatus,
});
[@override](/user/override)
Widget build(BuildContext context) {
return Card(
elevation: 5,
margin: EdgeInsets.only(bottom: 10),
child: ListTile(
tileColor: Theme.of(context).primaryColor,
title: Text(
label,
style: TextStyle(color: Colors.white, fontWeight: FontWeight.bold),
),
onTap: () {
if (Platform.isIOS &&
(featureStatus.index == 0 || featureStatus.index == 1)) {
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: const Text('此功能尚未在 iOS 上实现'),
),
);
} else if (Platform.isAndroid &&
(featureStatus.index == 0 || featureStatus.index == 2)) {
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: const Text('此功能尚未在 Android 上实现'),
),
);
} else if (!Platform.isAndroid && !Platform.isIOS) {
ScaffoldMessenger.of(context).showSnackBar(
SnackBar(
content: const Text('平台不支持'),
),
);
} else {
Navigator.push(
context,
MaterialPageRoute(builder: (context) => viewPage),
);
}
},
),
);
}
}
// 功能状态枚举
enum FeatureStatus { None, Android, IOS, Both }
完整示例Demo
以下是完整的示例代码,展示了如何使用 tesseract
插件进行光学字符识别(OCR):
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:tesseract/tesseract.dart';
void main() async {
WidgetsFlutterBinding.ensureInitialized();
runApp(MyApp());
}
class MyApp extends StatelessWidget {
[@override](/user/override)
Widget build(BuildContext context) {
return MaterialApp(
debugShowCheckedModeBanner: false,
title: 'Tesseract Demo',
theme: ThemeData(
primarySwatch: Colors.blue,
),
home: Home(),
);
}
}
class Home extends StatelessWidget {
[@override](/user/override)
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Tesseract Demo'),
centerTitle: true,
),
body: SafeArea(
child: Center(
child: SingleChildScrollView(
child: Padding(
padding: EdgeInsets.symmetric(horizontal: 16),
child: Column(
children: [
ElevatedButton(
onPressed: () {
initTesseract();
},
child: Text('初始化 Tesseract'),
),
],
),
),
),
),
),
);
}
initTesseract() async {
// 初始化 Tesseract 并设置语言为英语
var result = await Tesseract.initTesseract(language: 'eng');
print(result);
}
}
更多关于Flutter光学字符识别插件tesseract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tesseract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,下面是一个关于如何在Flutter项目中使用tesseract_ocr
插件来进行光学字符识别(OCR)的代码示例。这个插件允许你从图像中提取文本。
首先,你需要在pubspec.yaml
文件中添加tesseract_ocr
依赖:
dependencies:
flutter:
sdk: flutter
tesseract_ocr: ^0.3.3 # 请确保使用最新版本
然后运行flutter pub get
来安装依赖。
接下来,你可以在你的Flutter项目中编写代码来使用tesseract_ocr
插件。以下是一个完整的示例,包括从设备图库中选择图像并进行OCR识别的功能。
- 导入必要的包:
import 'package:flutter/material.dart';
import 'package:image_picker/image_picker.dart';
import 'package:tesseract_ocr/tesseract_ocr.dart';
注意:我们还需要image_picker
包来从设备图库中选择图像。因此,你还需要在pubspec.yaml
中添加image_picker
依赖。
dependencies:
image_picker: ^0.8.4+4 # 请确保使用最新版本
- 创建Flutter应用:
void main() {
runApp(MyApp());
}
class MyApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
home: OcrScreen(),
);
}
}
class OcrScreen extends StatefulWidget {
@override
_OcrScreenState createState() => _OcrScreenState();
}
class _OcrScreenState extends State<OcrScreen> {
final ImagePicker _picker = ImagePicker();
File? _imageFile;
String _ocrResult = '';
Future<void> _pickImage(ImageSource source) async {
final pickedFile = await _picker.pickImage(source: source);
if (pickedFile != null) {
setState(() {
_imageFile = File(pickedFile.path);
});
_performOCR();
}
}
Future<void> _performOCR() async {
if (_imageFile == null) return;
TesseractOcr tesseractOcr = TesseractOcr();
try {
String result = await tesseractOcr.recognizeText(_imageFile!.path, lang: 'eng');
setState(() {
_ocrResult = result;
});
} catch (e) {
print("OCR failed: $e");
setState(() {
_ocrResult = 'OCR failed';
});
}
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Flutter OCR Example'),
),
body: Padding(
padding: const EdgeInsets.all(16.0),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: <Widget>[
_imageFile == null
? Text('No image selected.')
: Image.file(_imageFile!),
SizedBox(height: 20),
Text('OCR Result:', style: TextStyle(fontWeight: FontWeight.bold)),
Text(_ocrResult, style: TextStyle(fontSize: 16)),
SizedBox(height: 20),
Row(
mainAxisAlignment: MainAxisAlignment.spaceBetween,
children: <Widget>[
ElevatedButton(
onPressed: () => _pickImage(ImageSource.gallery),
child: Text('Pick from Gallery'),
),
ElevatedButton(
onPressed: () => _pickImage(ImageSource.camera),
child: Text('Capture from Camera'),
),
],
),
],
),
),
);
}
}
在这个示例中:
- 我们使用
ImagePicker
来选择图像。 - 选择图像后,我们调用
_performOCR
函数来执行OCR识别。 - OCR识别的结果存储在
_ocrResult
字符串中,并在UI中显示。
请确保在iOS和Android项目中配置必要的权限,例如访问相机和存储的权限。
希望这个示例对你有帮助!如果你有任何问题或需要进一步的帮助,请随时告诉我。