face_detection 0.0.6 
face_detection: ^0.0.6 copied to clipboard
A flutter plugin for detecting face and detecting landmark on face, it use Go language for native
import 'dart:async';
import 'dart:typed_data';
import 'package:camera/camera.dart';
import 'package:face_detection/face_detection.dart';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';
import 'package:processing_camera_image/processing_camera_image.dart';
import 'package:rxdart/rxdart.dart';
void main() async {
WidgetsFlutterBinding.ensureInitialized();
runApp(const MyApp());
}
class MyApp extends StatelessWidget {
const MyApp({Key? key}) : super(key: key);
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Flutter Demo',
theme: ThemeData(
primarySwatch: Colors.blue,
),
home: const MyHomePage(title: 'Flutter Demo Home Page'),
);
}
}
class MyHomePage extends StatefulWidget {
const MyHomePage({Key? key, required this.title}) : super(key: key);
final String title;
@override
State<MyHomePage> createState() => _MyHomePageState();
}
class _MyHomePageState extends State<MyHomePage> {
late final CameraController _cameraController;
late Future<void> _instanceInit;
final pipe = BehaviorSubject<CameraImage?>.seeded(null);
static final ProcessingCameraImage _processingCameraImage =
ProcessingCameraImage();
Uint8List? currentImage;
bool processing = false;
int count = 0;
// final Stopwatch stopwatch = Stopwatch();
final a = BehaviorSubject<Map<String, dynamic>>.seeded({
"row": 0,
"rows": 0,
"cols": 0,
"col": 0,
"scale": 0,
'q': 0,
});
void _processinngImage(CameraImage? img) async {
if (img == null) {
processing = false;
return;
}
// stopwatch.start();
final retImage = await compute(processImage, img);
// print(retImage?.length.toString());
if ((retImage != null)) {
await FaceDetection.getFaceLandMark(
retImage.data,
retImage.heigh,
retImage.width,
);
}
processing = false;
// stopwatch.stop();
// print(stopwatch.elapsedMilliseconds);
// stopwatch.reset();
}
@override
void initState() {
pipe.listen(_processinngImage);
_instanceInit = initCamera();
super.initState();
}
@override
void dispose() {
_cameraController.dispose();
super.dispose();
}
Future<void> initCamera() async {
// await FaceDetection.initFaceDetect().then((value) => print(value));
FaceDetection.initFaceLandmark().then((value) => print(value));
final cameras = await availableCameras();
_cameraController = CameraController(cameras[1], ResolutionPreset.low,
imageFormatGroup: ImageFormatGroup.yuv420);
await _cameraController.initialize();
await _cameraController.startImageStream((image) {
if (!processing) {
processing = true;
pipe.sink.add(image);
}
count++;
});
}
static Image8bit? processImage(CameraImage _savedImage) {
return _processingCameraImage.processCameraImageToGray8Bit(
height: _savedImage.height,
width: _savedImage.width,
plane0: _savedImage.planes[0].bytes,
rotationAngle: 0,
// isFlipVectical: true,
// isFlipHoriozntal: true,
);
}
Widget _buildHoldWidget(BuildContext context, int idx) {
return StreamBuilder<Map<String, dynamic>>(
stream: FaceDetection.faceDetectStream(
type: FaceDetectionStreamType.faceLandMark)
.distinct(),
builder: (context, snap) {
Map<String, dynamic> data = {};
List<Map<String, dynamic>> points = [];
print(snap.data?['numFace']);
if (snap.hasData) {
for (var i = 0; i < snap.data?['holes'][0].length; i++) {
if (i % 5 == 0) {
points.add({
'rows': snap.data?['rows'],
'cols': snap.data?['cols'],
'row': snap.data?['holes'][0][i],
'col': snap.data?['holes'][0][i + 1],
'scale': snap.data?['holes'][0][i + 2],
'q': snap.data?['holes'][0][i + 3],
'tt': snap.data?['holes'][0][i + 4],
});
}
}
}
print(points.length);
if (idx < points.length) {
data = points[idx];
}
String rotation = '';
if (points.length > 3) {
print((points[3]['tt']));
if ((points[3]['tt']) > 90) {
rotation = "Left";
} else if ((points[3]['tt']) < 90) {
rotation = "Right";
} else {
rotation = "Ahead";
}
}
if (data.isEmpty) {
return Container(
color: Colors.transparent,
);
}
return Positioned(
left: -0.5 *
((MediaQuery.of(context).size.width) /
(data['cols'] ?? 1) *
(data['scale'] ?? 1)) +
((MediaQuery.of(context).size.width) /
(data['cols'] ?? 1) *
(data['col'] ?? 1)),
top: -0.5 *
((MediaQuery.of(context).size.width) /
(data['cols'] ?? 1) *
(data['scale'] ?? 1)) +
((MediaQuery.of(context).size.width) /
(data['cols'] ?? 1) *
(data['row'] ?? 1)),
child: Container(
decoration: BoxDecoration(
border: Border.all(),
),
width: (MediaQuery.of(context).size.width) /
(data['cols'] ?? 1) *
(data['scale'] ?? 1),
height: (MediaQuery.of(context).size.width) /
(data['cols'] ?? 1) *
(data['scale'] ?? 1),
child: Text(
'${data['scale']}',
style: TextStyle(fontSize: 13, color: Colors.red),
),
alignment: Alignment.center,
),
);
},
);
}
@override
Widget build(BuildContext context) {
return Scaffold(
floatingActionButton: InkWell(
child: Container(
color: Colors.white.withOpacity(0.0),
height: 36,
width: 36,
child: const Icon(Icons.photo_camera),
),
onTap: () {},
),
body: Center(
child: Stack(
children: [
Positioned(
top: 0,
child: Container(
width: MediaQuery.of(context).size.width,
child: FutureBuilder<void>(
future: _instanceInit,
builder: (context, snapshot) {
if (snapshot.connectionState == ConnectionState.done) {
return CameraPreview(
_cameraController,
);
}
return CircularProgressIndicator();
},
),
),
),
_buildHoldWidget(context, 1),
_buildHoldWidget(context, 2),
// _buildHoldWidget(context, 4),
// _buildHoldWidget(context, 5),
// _buildHoldWidget(context, 6),
// _buildHoldWidget(context, 7),
// _buildHoldWidget(context, 8),
// _buildHoldWidget(context, 9),
// _buildHoldWidget(context, 10),
// _buildHoldWidget(context, 11),
// _buildHoldWidget(context, 12),
// _buildHoldWidget(context, 13),
_buildHoldWidget(context, 14),
// _buildHoldWidget(context, 15),
// _buildHoldWidget(context, 16),
// _buildHoldWidget(context, 17),
// StreamBuilder<Map<String, dynamic>>(
// stream: FaceDetection.faceDetectStream(
// type: FaceDetectionStreamType.faceLandMark)
// .distinct(),
// builder: (context, snap) {
// Map<String, dynamic> data = {};
// List<Map<String, dynamic>> points = [];
// if (snap.hasData) {
// // data = {
// // "row": snap.data?['faces'][0]["Row"] ?? 1,
// // "rows": snap.data?['rows'] ?? 1,
// // "cols": snap.data?['cols'] ?? 1,
// // "col": snap.data?['faces'][0]["Col"] ?? 1,
// // "scale": snap.data?['faces'][0]["Scale"] ?? 1,
// // 'q': snap.data?['faces'][0]["Q"] ?? 1,
// // };
// // }
// for (var i = 0; i < snap.data?['holes'][0].length; i++) {
// if (i % 5 == 0) {
// points.add({
// 'rows': snap.data?['rows'],
// 'cols': snap.data?['cols'],
// 'row': snap.data?['holes'][0][i],
// 'col': snap.data?['holes'][0][i + 1],
// 'scale': snap.data?['holes'][0][i + 2],
// 'q': snap.data?['holes'][0][i + 3],
// 'tt': snap.data?['holes'][0][i + 4],
// });
// }
// }
// int index = 12;
// if (points.length > index) {}
// data = points[index];
// }
// if (data.isEmpty) {
// return Container(
// color: Colors.transparent,
// );
// }
// return Positioned(
// left: -0.5 *
// ((MediaQuery.of(context).size.width) /
// (data['cols'] ?? 1) *
// (data['scale'] ?? 1)) +
// ((MediaQuery.of(context).size.width) /
// (data['cols'] ?? 1) *
// (data['col'] ?? 1)),
// top: -0.5 *
// ((MediaQuery.of(context).size.width) /
// (data['cols'] ?? 1) *
// (data['scale'] ?? 1)) +
// ((MediaQuery.of(context).size.width) /
// (data['cols'] ?? 1) *
// (data['row'] ?? 1)),
// child: Container(
// decoration: BoxDecoration(
// border: Border.all(),
// ),
// width: (MediaQuery.of(context).size.width) /
// (data['cols'] ?? 1) *
// (data['scale'] ?? 1),
// height: (MediaQuery.of(context).size.width) /
// (data['cols'] ?? 1) *
// (data['scale'] ?? 1),
// child: Text(
// "ahihi",
// style: TextStyle(fontSize: 13),
// ),
// alignment: Alignment.center,
// ),
// );
// },
// ),
],
),
),
);
}
}Metadata
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Metadata
A flutter plugin for detecting face and detecting landmark on face, it use Go language for native
Homepage
Repository (GitHub)
View/report issues
Documentation
License
MIT (LICENSE)
