Android Yoonit Facefy

◻ Google MLKit integration ◻ PyTorch integration ◻ Computer vision pipeline ◻ Face detection ◻ Face contours ◻ Face expressions ◻ Face movement

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Table of Contents

• Installation
• Usage
• API
  • Methods
  • FaceDetected
    • Head Movements
• To contribute and make it better

Installation

Add the JitPack repository to your root build.gradle at the end of repositories

allprojects {
	repositories {  
	... 
	maven { url 'https://jitpack.io' }
	} 
}  

Add the dependency

dependencies {
	implementation 'com.github.Yoonit-Labs:android-yoonit-facefy:master-SNAPSHOT'
}

Usage

This is a basic usage to the FacefyYoonit. Feel free to use the demo.

import ai.cyberlabs.yoonit.facefy.Facefy

...

    fun example(inputBitmap: Bitmap) {
        Facefy()
            .detect(
                inputBitmap,
                { faceDetected ->
                    val boundingBox: Rect = faceDetected.boundingBox
                    val contours: MutableList<PointF> = faceDetected.contours
                    val headEulerAngleX: Float = faceDetected.headEulerAngleX
                    val headEulerAngleY: Float = faceDetected.headEulerAngleY
                    val headEulerAngleZ: Float = faceDetected.headEulerAngleZ
                    val leftEyeOpenProbability: Float? = faceDetected.leftEyeOpenProbability
                    val rightEyeOpenProbability: Float? = faceDetected.rightEyeOpenProbability
                    val smilingProbability: Float? = faceDetected.smilingProbability
                },
                { errorMessage ->
                    val mesage: String = errorMessage
                },
                {
                    // Process completed.
                }       
            )
    }

API

Methods

FaceDetected

Head Movements

Here we explaining the above gif and how reached the "results". Each "movement" (vertical, horizontal and tilt) is a state, based in the angle in degrees that indicate head direction;

To contribute and make it better

Clone the repo, change what you want and send PR. For commit messages we use Conventional Commits.

Contributions are always welcome!

Code with ❤ by the Yoonit Team