https://github.com/trancee/capacitor-google-mlkit-vision

Use on-device machine learning in your apps to easily solve real-world problems.
https://github.com/trancee/capacitor-google-mlkit-vision

capacitor face-detection google mlkit vision

Last synced: 24 days ago
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Use on-device machine learning in your apps to easily solve real-world problems.

• Host: GitHub
• URL: https://github.com/trancee/capacitor-google-mlkit-vision
• Owner: trancee
• License: mit
• Created: 2020-06-05T13:41:59.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-08-12T13:31:09.000Z (over 3 years ago)
• Last Synced: 2024-05-21T20:44:09.925Z (7 months ago)
• Topics: capacitor, face-detection, google, mlkit, vision
• Language: Java
• Size: 199 KB
• Stars: 11
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-capacitor - MlKit Vision - Detect faces in an image, identify key facial features, and get the contours of detected faces. (Other plugins)

README

        
# Face Detection

[Face Detection](https://developers.google.com/ml-kit/vision/face-detection)

With ML Kit's face detection API, you can detect faces in an image, identify key facial features, and get the contours of detected faces. Note that the API detects faces, it does not recognize people.

With face detection, you can get the information you need to perform tasks like embellishing selfies and portraits, or generating avatars from a user's photo. Because ML Kit can perform face detection in real time, you can use it in applications like video chat or games that respond to the player's expressions.

[Face Detection Concepts](https://developers.google.com/ml-kit/vision/face-detection/face-detection-concepts)

[ML Kit Release Notes](https://developers.google.com/ml-kit/release-notes)

## Android

[Detect faces with ML Kit on Android](https://developers.google.com/ml-kit/vision/face-detection/android)

There are two ways to integrate face detection: a bundled model which is part of your app and an unbundled model that depends on Google Play Services. The two models are the same. If you select the unbundled model your app will be smaller.

**For bundling the model in your app**:

add the dependencies for the ML Kit Android libraries to your module's app-level gradle file, which is usually `app/build.gradle`:

```java

    dependencies {

      // ...

      // Use this dependency to bundle the model with your app

      implementation 'com.google.mlkit:face-detection:16.0.0'

    }

```

**If you choose to use the Google Play Service way**:

you can configure your app to automatically download the model to the device after your app is installed from the Play Store. To do so, add the following declaration to your app's `AndroidManifest.xml` file:

```java

      

        ...

      

      

      

```

If you don't enable install-time model downloads, the model is downloaded the first time you run the scanner. Requests you make before the download has completed produce no results.

## iOS

[Detect faces with ML Kit on iOS](https://developers.google.com/ml-kit/vision/face-detection/ios)

You can use ML Kit to detect faces in images and video.