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