ML Kit Face Detection Sample App

The whole original work is in https://github.com/googlesamples/mlkit/tree/master/android/vision-quickstart

Introduction

I only extracted one feature from the Vision Quickstart Sample App. I deleted codes that are not used in Face Detection, and set the main activity to LivePreviewActivity.java.

• Face Detection - Detect faces in real time and static images

Getting Started

• Run the sample code on your Android device or emulator
• Try extending the code to add new features and functionality

How to use the app

This app supports three usage scenarios: Live Camera

Live Camera scenario

It uses the camera preview as input and contains the API workflow: Face Detection.

There's also a settings page that allows you to configure several options:

• Camera
  • Preview size - Specify the preview size of rear/front camera manually (Default size is chosen appropriately based on screen size)
  • Enable live viewport - Toggle between blocking camera preview by API processing and result rendering or not
• Face Detection
  • Landmark mode -- Toggle between showing no or all facial landmarks
  • Contour mode -- Toggle between showing no or all contours
  • Classification mode -- Toggle between showing no or all classifications (smiling, eyes open/closed)
  • Performance mode -- Toggle between two operating modes (Fast or Accurate)
  • Face tracking -- Enable or disable face tracking
  • Minimum face size -- Choose the proportion of the head width to the image width

Support

• Documentation
• API Reference
• Stack Overflow