apple_vision_face 0.0.3
apple_vision_face: ^0.0.3 copied to clipboard
A Flutter plugin to use Apple Vision Face Detection to detect faces in an image or video stream, identify key facial features, and get the contours of detected faces.
apple_vision_face #
Apple Vision Face Detection is a Flutter plugin that enables Flutter apps to use Apple Vision Face 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: 11.0
- Xcode 13 or newer
- Swift 5
- ML Kit only supports 64-bit architectures (x86_64 and arm64).
iOS
- Minimum ios Deployment Target: 13.0
- 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");
late AppleVisionFaceController cameraController;
late List<CameraMacOSDevice> _cameras;
CameraMacOSController? controller;
String? deviceId;
FaceData? faceData;
@override
void initState() {
cameraController = AppleVisionFaceController();
CameraMacOS.instance.listDevices(deviceType: CameraMacOSDeviceType.video).then((value){
_cameras = value;
deviceId = _cameras.first.deviceId;
});
super.initState();
}
@override
void dispose() {
controller?.destroy();
super.dispose();
}
void onTakePictureButtonPressed() async{
CameraMacOSFile? file = await controller?.takePicture();
if(file != null && mounted) {
Uint8List? image = file.bytes;
cameraController.process(image!, const Size(640,480)).then((data){
faceData = data;
setState(() {
});
});
}
}
@override
Widget build(BuildContext context) {
deviceWidth = MediaQuery.of(context).size.width;
deviceHeight = MediaQuery.of(context).size.height;
return Stack(
children:<Widget>[
SizedBox(
width: 640,
height: 480,
child: _getScanWidgetByPlatform()
),
]+showPoints()
);
}
List<Widget> showPoints(){
if(faceData == null || faceData!.marks.isEmpty) return[];
Map<LandMark,Color> colors = {
LandMark.faceContour: Colors.amber,
LandMark.outerLips: Colors.red,
LandMark.innerLips: Colors.pink,
LandMark.leftEye: Colors.green,
LandMark.rightEye: Colors.green,
LandMark.leftPupil: Colors.purple,
LandMark.rightPupil: Colors.purple,
LandMark.leftEyebrow: Colors.lime,
LandMark.rightEyebrow: Colors.lime,
};
List<Widget> widgets = [];
for(int i = 0; i < faceData!.marks.length; i++){
List<Point> points = faceData!.marks[i].location;
for(int j = 0; j < points.length;j++){
widgets.add(
Positioned(
left: points[j].x,
bottom: points[j].y,
child: Container(
width: 10,
height: 10,
decoration: BoxDecoration(
color: colors[faceData!.marks[i].landmark],
borderRadius: BorderRadius.circular(5)
),
)
)
);
}
}
return widgets;
}
Widget _getScanWidgetByPlatform() {
return CameraMacOSView(
key: cameraKey,
fit: BoxFit.fill,
cameraMode: CameraMacOSMode.photo,
enableAudio: false,
onCameraLoading: (ob){
return Container(
width: deviceWidth,
height: deviceHeight,
color: Theme.of(context).canvasColor,
alignment: Alignment.center,
child: const CircularProgressIndicator(color: Colors.blue)
);
},
onCameraInizialized: (CameraMacOSController controller) {
setState(() {
this.controller = controller;
Timer.periodic(const Duration(milliseconds: 32),(_){
onTakePictureButtonPressed();
});
});
},
);
}
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.