kukumaluCN / MPIrisTracker

This is an ios framework for Iris detection based on MediaPipe

MPIrisTracker

• An iOS Framework that enables developers to use iris detection & capturing face mesh based on MediaPipe.

Key Features

• enable to use MediaPipe Iris Detection in Swift App
• Acquire iris tracking from front camera image
  • face mesh
  • iris landmark

Example Projects

To try the example project, simply clone this repository and open the examples folder

Develop Environment

• Language: Swift
• Xcode: Xcode version 12.5
• Using Libralies:
  • MPIrisTracker
  • Resolver for DI

Get Started

Installation

1. Add MPIrisTracker.framwork in ./output folder to your App Xcode Project on Xcode.
2. In Xcode, select File > New > File...
3. Create temporary Objective-C File (this file will be deleted after creating bridging header file).
4. (Xcode automatically creates xxx-Bridging-Header.h)
5. Append #import <MPIrisTracker/MPIrisTracker.h> into xxx-Bridging-Header.h
6. (if needed) Select Embed & Sign at MPIrisTracker.framework
   
7. (if needed) Select No at Enable Bitcode
   

Permission Settings

1. Make sure you add the usage description of the camera in the app's Info.plist.

<key>NSCameraUsageDescription</key>
<string>MPIrisTracker</string>

How to compile framework

Install MediaPipe

1. Follow official MediaPipe documents

Compile

1. Copy files in ./source folder to MediaPipe installation path (e.g. MEDIAPIPE_PATH/mediapipe/MPIrisTracker/).
2. cd MEDIAPIPE_PATH
3. build -c opt --config=ios_arm64 mediapipe/MPIrisTracker:MPIrisTracker

Reference

• MediaPipe

Licence

MIT

Author

Yuki Yamato [ukitomato]