Runtime error while try to run AutoML Vision edge

[iamprakash13]

i followed all instructions and try to run example of this repo, just replaced wtih my custom model
to detect labels of image. text detection is working fine. i m using latest flutter and android Q sdk.

here is my log:
I/BufferQueueProducer(2878): [SurfaceTexture-0-2878-0](this:0xc4a7c000,id:0,api:1,p:2878,c:2878) queueBuffer: fps=9.97 dur=1003.41 max=102.14 min=99.24 E/AndroidRuntime( 2878): FATAL EXCEPTION: CameraBackground E/AndroidRuntime( 2878): Process: com.example.ml_flr, PID: 2878 E/AndroidRuntime( 2878): java.lang.NullPointerException: Attempt to invoke virtual method 'com.google.android.gms.tasks.Task com.google.firebase.ml.vision.label.FirebaseVisionImageLabeler.processImage(com.google.firebase.ml.vision.common.FirebaseVisionImage)' on a null object reference E/AndroidRuntime( 2878): at io.flutter.plugins.firebaselivestreammlvision.LocalVisionEdgeDetector.handleDetection(LocalVisionEdgeDetector.java:48) E/AndroidRuntime( 2878): at io.flutter.plugins.firebaselivestreammlvision.FirebaseLivestreamMlVisionPlugin$Camera.processImage(FirebaseLivestreamMlVisionPlugin.java:539) E/AndroidRuntime( 2878): at io.flutter.plugins.firebaselivestreammlvision.FirebaseLivestreamMlVisionPlugin$Camera.access$1300(FirebaseLivestreamMlVisionPlugin.java:279) E/AndroidRuntime( 2878): at io.flutter.plugins.firebaselivestreammlvision.FirebaseLivestreamMlVisionPlugin$Camera$3.onImageAvailable(FirebaseLivestreamMlVisionPlugin.java:549) E/AndroidRuntime( 2878): at android.media.ImageReader$ListenerHandler.handleMessage(ImageReader.java:812) E/AndroidRuntime( 2878): at android.os.Handler.dispatchMessage(Handler.java:106) E/AndroidRuntime( 2878): at android.os.Looper.loop(Looper.java:164) E/AndroidRuntime( 2878): at android.os.HandlerThread.run(HandlerThread.java:65) I/BufferQueueProducer( 2878): [SurfaceTexture-1-2878-1](this:0xbba7e000,id:2,api:4,p:485,c:2878) queueBuffer: slot 1 is dropped, handle=0xdb7a3760 I/BufferQueueProducer( 2878): [ImageReader-1440x1080f23m2-2878-0](this:0xc0d0c000,id:1,api:4,p:2878,c:2878) queueBuffer: slot 1 is dropped, handle=0xdb7a5d00 D/ViewRootImpl@a702665[MainActivity]( 2878): MSG_WINDOW_FOCUS_CHANGED 0

code:

`
import 'package:firebase_livestream_ml_vision/firebase_livestream_ml_vision.dart';
import 'package:flutter/material.dart';
import 'detector_painters.dart';

    void main() => runApp(MaterialApp(home: _MyHomePage()));

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

     class _MyHomePageState extends State<_MyHomePage> {
               FirebaseVision _vision;
                 dynamic _scanResults;
                 Detector _currentDetector = Detector.text;

                  @override
                void initState() {
                 super.initState();
                _initializeCamera();
           }

   void _initializeCamera() async {
   List<FirebaseCameraDescription> cameras = await camerasAvailable();
   _vision = FirebaseVision(cameras[0], ResolutionSetting.high);
   _vision.initialize().then((_) {
    if (!mounted) {
      return;
    }
    setState(() {});
  });
   }

  Widget _buildResults() {
  const Text noResultsText = Text('No results!');

  CustomPainter painter;

  final Size imageSize = Size(
    _vision.value.previewSize.height,
    _vision.value.previewSize.width,
  );

    switch (_currentDetector) {
    case Detector.visionEdgeLabel:
     _vision.addVisionEdgeImageLabeler('flowers', ModelLocation.Local).then((onValue){
       onValue.listen((onData){
         setState(() {
           _scanResults = onData;
           print("detected");
         });
        });
      }); 
      if (_scanResults is! List<VisionEdgeImageLabel>) return noResultsText;
      painter = VisionEdgeLabelDetectorPainter(imageSize, _scanResults);
      break;
    default:
       assert(_currentDetector == Detector.text ||
          _currentDetector == Detector.visionEdgeLabel);
      _vision.addTextRecognizer().then((onValue){
           onValue.listen((onData){
            setState(() {
            _scanResults = onData;
          });
        });
       });
       if (_scanResults is! VisionText) return noResultsText;
          painter = TextDetectorPainter(imageSize, _scanResults);
       }

      return CustomPaint(
      painter: painter,
     );
      }

          Widget _buildImage() {
            return Container(
              constraints: const BoxConstraints.expand(),
                child: _vision == null
      ? const Center(
          child: Text(
            'Initializing Camera...',
            style: TextStyle(
              color: Colors.green,
              fontSize: 30.0,
            ),
          ),
        )
      : Stack(
          fit: StackFit.expand,
          children: <Widget>[
            FirebaseCameraPreview(_vision),
            _buildResults(),
          ],
        ),
         );
       }

              @override
                Widget build(BuildContext context) {
             return Scaffold(
             appBar: AppBar(
        title: const Text('ML Vision Example'),
    actions: <Widget>[
        PopupMenuButton(
        onSelected: (result) {
          _currentDetector = result;
        },
        itemBuilder: (BuildContext context) => <PopupMenuEntry>[
        /*  const PopupMenuItem(
            child: Text('Detect Barcode'),
            value: Detector.barcode,
          ),
          const PopupMenuItem(
            child: Text('Detect Face'),
            value: Detector.face,
          ),
          const PopupMenuItem(
            child: Text('Detect Label'),
            value: Detector.label,
          ),
          const PopupMenuItem(
            child: Text('Detect Cloud Label'),
            value: Detector.cloudLabel,
          ),
          const PopupMenuItem(
            child: Text('Detect Cloud Text'),
            value: Detector.cloudText,
          ), */
           const PopupMenuItem(
            child: Text('Detect Text'),
            value: Detector.text,
          ),
          const PopupMenuItem(
            child: Text('Detect AutoML Vision Label'),
            value: Detector.visionEdgeLabel,
             ),
          ],
        ),
      ],
      ),
    body: _buildImage(),
      );
     }

      @override
          void dispose() {
               _vision.dispose().then((_) {
           _vision.barcodeDetector.close();
               _vision.faceDetector.close();
                _vision.localImageLabeler.close();
               _vision.cloudImageLabeler.close();
                         _vision.textRecognizer.close();
                         _vision.visionEdgeImageLabeler.close();
                          });

                _currentDetector = null;
                      super.dispose();
                                           }

                   }

`