apple_vision_image_classification 0.0.2 copy "apple_vision_image_classification: ^0.0.2" to clipboard
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PlatformiOSmacOS

A Flutter plugin to use Apple Vision Image Classification the classifies an image.

example/lib/main.dart

import 'package:apple_vision_image_classification/apple_vision_image_classification.dart';
import 'package:flutter/material.dart';
import '../camera/camera_insert.dart';
import 'package:flutter/foundation.dart';
import 'package:flutter/services.dart';
import 'camera/input_image.dart';

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

class MyApp extends StatelessWidget {
  const MyApp({super.key});

  // This widget is the root of your application.
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter Demo',
      theme: ThemeData(
        primarySwatch: Colors.blue,
      ),
      home: const VisionIC(),
    );
  }
}

class VisionIC extends StatefulWidget {
  const VisionIC({
    Key? key,
    this.onScanned
  }):super(key: key);

  final Function(dynamic data)? onScanned; 

  @override
  _VisionIC createState() => _VisionIC();
}

class _VisionIC extends State<VisionIC>{
  final GlobalKey cameraKey = GlobalKey(debugLabel: "cameraKey");
  AppleVisionImageClassificationController visionController = AppleVisionImageClassificationController();
  InsertCamera camera = InsertCamera();
  Size imageSize = const Size(640,640*9/16);
  String? deviceId;
  bool loading = true;

  List<Label>? labels;
  late double deviceWidth;
  late double deviceHeight;

  @override
  void initState() {
    camera.setupCameras().then((value){
      setState(() {
        loading = false;
      });
      camera.startLiveFeed((InputImage i){
        if(i.metadata?.size != null){
          imageSize = i.metadata!.size;
        }
        if(mounted) {
          Uint8List? image = i.bytes;
          visionController.processImage(image!, imageSize).then((data){
            labels = data;
            setState(() {
              
            });
          });
        }
      });
    });
    super.initState();
  }
  @override
  void dispose() {
    camera.dispose();
    super.dispose();
  }

  @override
  Widget build(BuildContext context) {
    deviceWidth = MediaQuery.of(context).size.width;
    deviceHeight = MediaQuery.of(context).size.height;
    return Stack(
      children:<Widget>[
        SizedBox(
          width: imageSize.width, 
          height: imageSize.height, 
          child: loading?Container():CameraSetup(camera: camera, size: imageSize)
        ),
        Column(children: showLabel(),)
      ]
    );
  }

  List<Widget> showLabel(){
    if(labels == null || labels!.isEmpty) return [];
    List<Widget> widgets = [];

    for(int i = 0; i < labels!.length; i++){
      widgets.add(
        Container(
          width: 320,
          height: 20,
          decoration: BoxDecoration(
            color: Colors.green,
            borderRadius: BorderRadius.circular(5)
          ),
          child: Text(
            '${labels![i].label}: ${labels![i].confidence}',
            style: const TextStyle(
              color: Colors.white,
              fontSize: 12
            ),
          ),
        )
      );
    }
    return widgets;
  }

  Widget loadingWidget(){
    return Container(
      width: deviceWidth,
      height:deviceHeight,
      color: Theme.of(context).canvasColor,
      alignment: Alignment.center,
      child: const CircularProgressIndicator(color: Colors.blue)
    );
  }
}
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A Flutter plugin to use Apple Vision Image Classification the classifies an image.

Repository (GitHub)
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Documentation

API reference

License

MIT (license)

Dependencies

apple_vision_commons, flutter

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