Created
May 28, 2021 06:34
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flutter - FutureBuilder를 사용한 camera 사용 예제
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| import 'dart:ffi'; | |
| import 'dart:ui'; | |
| import 'package:flutter/material.dart'; | |
| import 'package:camera/camera.dart'; | |
| import 'package:tflite/tflite.dart'; | |
| List<CameraDescription> cameras = []; | |
| void main() async { | |
| WidgetsFlutterBinding.ensureInitialized(); | |
| cameras = await availableCameras(); | |
| runApp(DetectApp()); | |
| } | |
| class DetectApp extends StatelessWidget { | |
| // This widget is the root of your application. | |
| @override | |
| Widget build(BuildContext context) { | |
| return MaterialApp( | |
| title: 'Flutter Demo', | |
| theme: ThemeData( | |
| primarySwatch: Colors.blue, | |
| ), | |
| home: DetectFace(title: 'Realtime Inference'), | |
| ); | |
| } | |
| } | |
| class DetectFace extends StatefulWidget { | |
| DetectFace({Key key, this.title}) : super(key: key); | |
| final String title; | |
| @override | |
| _DetectFaceState createState() => _DetectFaceState(); | |
| } | |
| class _DetectFaceState extends State<DetectFace> { | |
| CameraController cameraController; | |
| bool isDetecting = false; | |
| List<dynamic> results = []; | |
| Future<void> initRequisites() async { | |
| Tflite.close(); | |
| /* | |
| https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection | |
| */ | |
| await Tflite.loadModel( | |
| model: "assets/ssd_mobilenet.tflite", | |
| labels: "assets/labels.txt", | |
| ); | |
| var frontCamera = | |
| cameras.firstWhere((camera) => camera.lensDirection.index == 0); | |
| cameraController = CameraController(frontCamera, ResolutionPreset.high, | |
| enableAudio: false); | |
| await cameraController.initialize(); | |
| cameraController.startImageStream(processImage); | |
| } | |
| @override | |
| Widget build(BuildContext context) { | |
| return Scaffold( | |
| appBar: AppBar( | |
| title: Text(widget.title), | |
| ), | |
| body: FutureBuilder<void>( | |
| future: initRequisites(), | |
| builder: (context, snapshot) { | |
| if (snapshot.connectionState == ConnectionState.done) { | |
| return Stack( | |
| children: <Widget>[ | |
| CameraPreview(cameraController), | |
| resultWidget(results) | |
| ], | |
| ); | |
| } else { | |
| return Center(child: CircularProgressIndicator()); | |
| } | |
| })); | |
| } | |
| @override | |
| void dispose() { | |
| cameraController.dispose(); | |
| super.dispose(); | |
| } | |
| processImage(CameraImage image) async { | |
| if (isDetecting) { | |
| return; | |
| } | |
| isDetecting = true; | |
| var inputImage = image.planes.map((plane) => plane.bytes).toList(); | |
| var result = await Tflite.detectObjectOnFrame( | |
| bytesList: inputImage, | |
| model: "SSDMobileNet", | |
| imageHeight: image.height, | |
| imageWidth: image.width, | |
| imageMean: 127.5, | |
| imageStd: 127.5, | |
| numResultsPerClass: 3, | |
| threshold: 0.4); | |
| results = result.map((e)=>e["detectedClass"]).toList(); | |
| print(results.join("/")); | |
| isDetecting = false; | |
| } | |
| Widget resultWidget(List<dynamic> list) { | |
| return Stack( | |
| children: [ | |
| Text( | |
| results.join(","), | |
| style: TextStyle(color: Colors.black), | |
| ) | |
| ], | |
| ); | |
| } | |
| } |
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