在Flutter中使用Google ML-Kit进行设备上的文本识别

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

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

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: TextRecognitionScreen(),
    );
  }
}

class TextRecognitionScreen extends StatefulWidget {
  @override
  _TextRecognitionScreenState createState() => _TextRecognitionScreenState();
}

class _TextRecognitionScreenState extends State<TextRecognitionScreen> {
  String _recognizedText = '';

  Future<void> _recognizeText() async {
    FirebaseVisionImage image = FirebaseVisionImage.fromAsset('assets/sample.jpg');
    FirebaseVisionTextDetector detector = FirebaseVision.instance.textDetector();

    try {
      FirebaseVisionText visionText = await detector.detectInImage(image);
      setState(() {
        _recognizedText = visionText.text;
      });
    } on Exception catch (e) {
      print("Failed to recognize text: $e");
    }
  }

  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(
        title: Text('Text Recognition'),
      ),
      body: Center(
        child: Column(
          mainAxisAlignment: MainAxisAlignment.center,
          children: <Widget>[
            Text('Recognized Text:'),
            SizedBox(height: 20),
            Text(
              _recognizedText,
              style: TextStyle(fontSize: 18),
            ),
          ],
        ),
      ),
      floatingActionButton: FloatingActionButton(
        onPressed: _recognizeText,
        tooltip: 'Recognize Text',
        child: Icon(Icons.camera_alt),
      ),
    );
  }
}