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https://github.com/ricardocaste/face_detection
Flutter Smile Detection with Google ML Kit
https://github.com/ricardocaste/face_detection
face-detection flutter google-ml-kit machinelearning
Last synced: 2 days ago
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Flutter Smile Detection with Google ML Kit
- Host: GitHub
- URL: https://github.com/ricardocaste/face_detection
- Owner: ricardocaste
- Created: 2021-01-15T19:23:43.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-02-18T02:16:02.000Z (over 2 years ago)
- Last Synced: 2024-09-16T11:17:39.940Z (about 2 months ago)
- Topics: face-detection, flutter, google-ml-kit, machinelearning
- Language: Dart
- Homepage:
- Size: 64.5 KB
- Stars: 7
- Watchers: 2
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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
[](https://pub.dev/packages/google_ml_kit)
A Flutter plugin to use [Google's standalone ML Kit](https://developers.google.com/ml-kit) for Android and iOS.
## Features
### Vision
| Face Detection Feature | Android | iOS |
|-----------------------------------------------------------------------------------------------|---------|-----|
|[Face Detection](https://developers.google.com/ml-kit/vision/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](https://developer.apple.com/support/required-device-capabilities/) to see if your device has the required device capabilities.
Since ML Kit does not support 32-bit architectures (i386 and armv7) ([Read mode](https://developers.google.com/ml-kit/migration/ios)), 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.
```xml
```
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](https://developers.google.com/ml-kit/migration). For Android details read [this](https://developers.google.com/ml-kit/migration/android). For iOS details read [this](https://developers.google.com/ml-kit/migration/ios).
## Known issues
### Android
To reduce the apk size read more about it in issue [#26](https://github.com/bharat-biradar/Google-Ml-Kit-plugin/issues/26). Also look at [this](https://developers.google.com/ml-kit/tips/reduce-app-size).
### 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](https://github.com/bharat-biradar/Google-Ml-Kit-plugin/issues/27).