apple_vision_object 0.0.2
apple_vision_object: ^0.0.2 copied to clipboard
A Flutter plugin to use Apple Vision Object Detection and Tracking to detect and track objects in an image or live camera feed.
apple_vision_object #
Apple Vision Selfie Detection is a Flutter plugin that enables Flutter apps to use Apple Vision Selfie Detection.
- This plugin is not sponsor or maintained by Apple. The authors are developers who wanted to make a similar plugin to Google's ml kit for macos.
Requirements #
MacOS
- Minimum osx Deployment Target: 10.13
- Xcode 13 or newer
- Swift 5
- ML Kit only supports 64-bit architectures (x86_64 and arm64).
iOS
- Minimum osx Deployment Target: 14.0
- Xcode 13 or newer
- Swift 5
- ML Kit only supports 64-bit architectures (x86_64 and arm64).
Getting Started #
You need to first import 'package:apple_vision/apple_vision.dart';
final GlobalKey cameraKey = GlobalKey(debugLabel: "cameraKey");
AppleVisionObjectController visionController = AppleVisionObjectController();
InsertCamera camera = InsertCamera();
Size imageSize = const Size(640,640*9/16);
String? deviceId;
bool loading = true;
List<ObjectData>? objectData;
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){
objectData = data;
//ßprint(objectData!.objects);
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)
),
]+showRects()
);
}
List<Widget> showRects(){
if(objectData == null || objectData!.isEmpty) return [];
List<Widget> widgets = [];
for(int i = 0; i < objectData!.length; i++){
//if(objectData!.objects[i]. confidence > 0.5){
widgets.add(
Positioned(
top: objectData![i].object.top,
left: objectData![i].object.left,
child: Container(
width: objectData![i].object.width*imageSize.width,
height: objectData![i].object.height*imageSize.height,
decoration: BoxDecoration(
color: Colors.transparent,
border: Border.all(width: 1, color: Colors.green),
borderRadius: BorderRadius.circular(5)
),
child: Text(
'${objectData![i].label}: ${objectData![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)
);
}
Example #
Find the example for this API here.
Contributing #
Contributions are welcome. In case of any problems look at existing issues, if you cannot find anything related to your problem then open an issue. Create an issue before opening a pull request for non trivial fixes. In case of trivial fixes open a pull request directly.