face_detection

Flutter Face Detection with google_ml_kit

Google's ML Kit is a Flutter plugin to use Google's standalone ML Kit for Android and iOS.

Google's ML Kit Flutter Plugin

A Flutter plugin to use Google's standalone ML Kit for Android and iOS.

Features

Vision

Face Detection Feature	Android	iOS
Face Detection	✅	✅

Requirements

iOS

• Minimum iOS Deployment Target: 10.0
• Xcode 12 or newer
• Swift 5
• ML Kit only supports 64-bit architectures (x86_64 and arm64). Check this list to see if your device has the required device capabilities.

Since ML Kit does not support 32-bit architectures (i386 and armv7) (Read mode), you need to exclude amrv7 architectures in Xcode in order to run flutter build ios or flutter build ipa.

Go to Project > Runner > Building Settings > Excluded Architectures > Any SDK > armv7

Then your Podfile should look like this:

# add this line:
$iOSVersion = '10.0'

post_install do |installer|
  # add these lines:
  installer.pods_project.build_configurations.each do |config|
    config.build_settings["EXCLUDED_ARCHS[sdk=*]"] = "armv7"
    config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = $iOSVersion
  end
  
  installer.pods_project.targets.each do |target|
    flutter_additional_ios_build_settings(target)
    
    # add these lines:
    target.build_configurations.each do |config|
      if Gem::Version.new($iOSVersion) > Gem::Version.new(config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'])
        config.build_settings['IPHONEOS_DEPLOYMENT_TARGET'] = $iOSVersion
      end
    end
    
  end
end

Notice that the minimum IPHONEOS_DEPLOYMENT_TARGET is 10.0, you can set it to something newer but not older.

Android

• minSdkVersion: 21
• targetSdkVersion: 29

Usage

Add this plugin as dependency in your pubspec.yaml.

• In your project-level build.gradle file, make sure to include Google's Maven repository in both your buildscript and allprojects sections(for all api's).

• All API's except Image Labeling, Face Detection and Barcode Scanning use bundled models, hence others should work out of the box.

• For API's using unbundled models, configure your application to download the model to your device automatically from play store by adding the following to your app's AndroidManifest.xml, if not configured the respective models will be downloaded when the API's are invoked for the first time.

  <meta-data
          android:name="com.google.mlkit.vision.DEPENDENCIES"
          android:value="ica" />
      <!-- To use multiple models: android:value="ica,model2,model3" -->

  Use these options:

  • ica - Image Labeling
  • ocr - Barcode Scanning
  • face -Face Detection

Migrating from ML Kit for Firebase

When Migrating from ML Kit for Firebase read this guide. For Android details read this. For iOS details read this.

Known issues

Android

To reduce the apk size read more about it in issue #26. Also look at this.

iOS

If you are using this plugin in your app and any other plugin that requires Firebase, there is a known issues you will encounter a dependency error when running pod install. To read more about it go to issue #27.