Failed to run model, -67108857, java.lang.NegativeArrayS izeException: -67108857 - flutter

Question

Has anyone solved this problem while using tflite package in flutter every model i used i get that issue of arrays?
Unhandled Exception: PlatformException(Failed to run model, -67108857, java.lang.NegativeArrayS
izeException: -67108857
How can i solve it.
Here is the basic code i was trying to run but landed into an error.
import 'dart:io';
import 'package:flutter/material.dart';
import 'package:flutter/services.dart';
import 'package:tflite/tflite.dart';
import 'package:image_picker/image_picker.dart';
import 'home.dart';
//import 'package:image/image.dart' as img;
void main() => runApp(MyApp());
const String ssd = "SSD MobileNet";
const String yolo = "Tiny YOLOv2";
class MyApp extends StatelessWidget {
#override
Widget build(BuildContext context) {
return MaterialApp(
debugShowCheckedModeBanner: false,
title: 'Object Detection App',
home: StaticImage(),
);
}
}
class StaticImage extends StatefulWidget {
#override
_StaticImageState createState() => _StaticImageState();
}
class _StaticImageState extends State<StaticImage> {
File _image;
List _recognitions;
bool _busy;
double _imageWidth, _imageHeight;
final picker = ImagePicker();
// this function loads the model
loadTfModel() async {
await Tflite.loadModel(
model: "assets/tflite/model_unquant.tflite",
labels: "assets/tflite/label.txt",
);
}
// this function detects the objects on the image
detectObject(File image) async {
var recognitions = await Tflite.detectObjectOnImage(
path: image.path, // required
model: "SSDMobileNet",
imageMean: 127.5,
imageStd: 127.5,
threshold: 0.4, // defaults to 0.1
numResultsPerClass: 10,// defaults to 5
asynch: true // defaults to true
);
FileImage(image)
.resolve(ImageConfiguration())
.addListener((ImageStreamListener((ImageInfo info, bool _) {
setState(() {
_imageWidth = info.image.width.toDouble();
_imageHeight = info.image.height.toDouble();
});
})));
setState(() {
_recognitions = recognitions;
});
}
#override
void initState() {
super.initState();
_busy = true;
loadTfModel().then((val) {{
setState(() {
_busy = false;
});
}});
}
// display the bounding boxes over the detected objects
List<Widget> renderBoxes(Size screen) {
if (_recognitions == null) return [];
if (_imageWidth == null || _imageHeight == null) return [];
double factorX = screen.width;
double factorY = _imageHeight / _imageHeight * screen.width;
Color blue = Colors.blue;
return _recognitions.map((re) {
return Container(
child: Positioned(
left: re["rect"]["x"] * factorX,
top: re["rect"]["y"] * factorY,
width: re["rect"]["w"] * factorX,
height: re["rect"]["h"] * factorY,
child: ((re["confidenceInClass"] > 0.50))? Container(
decoration: BoxDecoration(
border: Border.all(
color: blue,
width: 3,
)
),
child: Text(
"${re["detectedClass"]} ${(re["confidenceInClass"] * 100).toStringAsFixed(0)}%",
style: TextStyle(
background: Paint()..color = blue,
color: Colors.white,
fontSize: 15,
),
),
) : Container()
),
);
}).toList();
}
#override
Widget build(BuildContext context) {
Size size = MediaQuery.of(context).size;
List<Widget> stackChildren = [];
stackChildren.add(
Positioned(
// using ternary operator
child: _image == null ?
Container(
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: <Widget>[
Text("Please Select an Image"),
],
),
)
: // if not null then
Container(
child:Image.file(_image)
),
)
);
stackChildren.addAll(renderBoxes(size));
if (_busy) {
stackChildren.add(
Center(
child: CircularProgressIndicator(),
)
);
}
return Scaffold(
appBar: AppBar(
title: Text("Object Detector"),
),
floatingActionButton: Row(
mainAxisAlignment: MainAxisAlignment.end,
children: <Widget>[
FloatingActionButton(
heroTag: "Fltbtn2",
child: Icon(Icons.camera_alt),
onPressed: getImageFromCamera,
),
SizedBox(width: 10,),
FloatingActionButton(
heroTag: "Fltbtn1",
child: Icon(Icons.photo),
onPressed: getImageFromGallery,
),
],
),
body: Container(
alignment: Alignment.center,
child:Stack(
children: stackChildren,
),
),
);
}
// gets image from camera and runs detectObject
Future getImageFromCamera() async {
final pickedFile = await picker.getImage(source: ImageSource.camera);
setState(() {
if(pickedFile != null) {
_image = File(pickedFile.path);
} else {
print("No image Selected");
}
});
detectObject(_image);
}
// gets image from gallery and runs detectObject
Future getImageFromGallery() async {
final pickedFile = await picker.getImage(source: ImageSource.gallery);
setState(() {
if(pickedFile != null) {
_image = File(pickedFile.path);
} else {
print("No image Selected");
}
});
detectObject(_image);
}
}
This is the code i was trying to run
Image for error is here
name: ml_classifier
description: A new Flutter project.
# The following line prevents the package from being accidentally published to
# pub.dev using `pub publish`. This is preferred for private packages.
publish_to: 'none' # Remove this line if you wish to publish to pub.dev
# The following defines the version and build number for your application.
# A version number is three numbers separated by dots, like 1.2.43
# followed by an optional build number separated by a +.
# Both the version and the builder number may be overridden in flutter
# build by specifying --build-name and --build-number, respectively.
# In Android, build-name is used as versionName while build-number used as versionCode.
# Read more about Android versioning at https://developer.android.com/studio/publish/versioning
# In iOS, build-name is used as CFBundleShortVersionString while build-number used as CFBundleVersion.
# Read more about iOS versioning at
# https://developer.apple.com/library/archive/documentation/General/Reference/InfoPlistKeyReference/Articles/CoreFoundationKeys.html
version: 1.0.0+1
environment:
sdk: ">=2.7.0 <3.0.0"
dependencies:
flutter:
sdk: flutter
tflite: ^1.0.4
image_picker: ^0.6.1+8
image: ^2.1.4
# The following adds the Cupertino Icons font to your application.
# Use with the CupertinoIcons class for iOS style icons.
cupertino_icons: ^0.1.2
dev_dependencies:
flutter_test:
sdk: flutter
# The following section is specific to Flutter.
flutter:
# To add assets to your application, add an assets section, like this:
assets:
- assets/tflite/model_unquant.tflite
- assets/tflite/label.txt