CODEWITHSUNDEEP
opencvflutterfirebase-mlkit
Ian Leshan
Ian Leshan

Reputation: 103

flutter real time face detection

I am currently developing an app that requires real time face detection. Right now I have the mlkit library in the app and I am using the firebase face detector. At the moment, it produces an error every time I try to detect a face from file: 

DynamiteModule(13840): Local module descriptor class for com.google.android.gms.vision.dynamite.face not found.

As for the real time part, I tried using the RepaintBoundary in flutter to get a screenshot of the camera widget (almost)every frame and convert it into a binary file for face detection. But for some reason, flutter crashed every time I tried to screenshot the camera widget. It worked for other widgets.

After coming across both of these problems and spending quite a while trying to solve them, I've been thinking about just doing the camera part of the app in android/iOS native code(I would do this with OpenCV so that I can have real time detection). Is there a way I could use platform channels to implement a camera view in kotlin and swift and import that to a flutter widget? Or is there another easier way to implement this?

Upvotes: 10

Views: 16325

Answers (2)

TruongSinh
TruongSinh

Reputation: 4856

For the real-time access to camera image stream, I answered in another question How to access camera frames in flutter quickly that you want to use CameraController#startImageStream

import 'package:camera/camera.dart';
import 'package:flutter/foundation.dart';
import 'package:flutter/material.dart';

void main() => runApp(MaterialApp(home: _MyHomePage()));

class _MyHomePage extends StatefulWidget {
  @override
  _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State<_MyHomePage> {
  dynamic _scanResults;
  CameraController _camera;

  bool _isDetecting = false;
  CameraLensDirection _direction = CameraLensDirection.back;

  @override
  void initState() {
    super.initState();
    _initializeCamera();
  }

  Future<CameraDescription> _getCamera(CameraLensDirection dir) async {
    return await availableCameras().then(
      (List<CameraDescription> cameras) => cameras.firstWhere(
            (CameraDescription camera) => camera.lensDirection == dir,
          ),
    );
  }

  void _initializeCamera() async {
    _camera = CameraController(
      await _getCamera(_direction),
      defaultTargetPlatform == TargetPlatform.iOS
          ? ResolutionPreset.low
          : ResolutionPreset.medium,
    );
    await _camera.initialize();
    _camera.startImageStream((CameraImage image) {
      if (_isDetecting) return;
      _isDetecting = true;
      try {
        // await doOpenCVDectionHere(image)
      } catch (e) {
        // await handleExepction(e)
      } finally {
        _isDetecting = false;
      }
    });
  }
  Widget build(BuildContext context) {
    return null;
  }
}

Upvotes: 7

Liew Jun Tung
Liew Jun Tung

Reputation: 249

I did something this with OpenCV before, my solution was:

  1. Start a new Activity or ViewController on Android and iOS respectively via platform channel. Example:

class FaceScanPlugin(val activity: Activity) : MethodCallHandler, PluginRegistry.ActivityResultListener {

var result: Result? = null

companion object {
    @JvmStatic
    fun registerWith(registrar: Registrar): Unit {
        val channel = MethodChannel(registrar.messenger(), "com.example.facescan")
        val plugin = BarcodeScanPlugin(registrar.activity())
        channel.setMethodCallHandler(plugin)
        registrar.addActivityResultListener(plugin)
    }
}

override fun onMethodCall(call: MethodCall, result: Result): Unit {
    if (call.method.equals("scan")) {
        this.result = result
        showFaceScanView()
    } else {
        result.notImplemented()
    }
}

private fun showFaceScanView() {
    val intent = Intent(activity, FaceScannerActivity::class.java)
    activity.startActivityForResult(intent, 100)
}

override fun onActivityResult(code: Int, resultCode: Int, data: Intent?): Boolean {
    if (code == 100) {
        if (resultCode == Activity.RESULT_OK) {
            return true
        }
    }
    return false
}
}

Refer to Flutter QR scanner plugin on how to navigate to Android activity or iOS View.

  1. Then do your OpenCV real-time face detection via Camera2 and AVFoundation.

Other than that, I supposed you can try out the new AndroidView or UIKitView if you want to embed the android or iOS into your Flutter app.

Upvotes: 0

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