Porting of "TensorFlow Lite Examples" to Unity. and some utilities for Unity.

Tested on

• iOS / Android / macOS / Windows
• Unity 2019.4.11f1
• TensorFlow 2.3.0

Samples

• TensorFlow
  • MNIST
  • SSD Object Detection
  • DeepLab
  • PoseNet
  • Style Transfer
  • Text Classification
  • Bert Question and Answer
• MediaPipe
  • Hand Tracking
  • Blaze Face
  • Face Mesh
  • Blaze Pose (Upper body)
• MLKit
  • Blaze Pose (Full body)

Included prebuilt libraries

• All libraries except iOS are targeted 64bit platform: arm64 or x86_64.

• Clone this repository with examples
  • Need Git-LFS to build for iOS
• Or core library is available on OpenUPM

Pre-built libraries are included. If you want to build the latest TFLite,

1. Clone TensorFlow library
2. Run ./configure in the TensorFlow library
3. Run ./build_tflite.py (Python3) to build for each platform

# Update iOS, Andoid and macOS
./build_tflte.py --tfpath ../tensorflow -ios -android -macos

• To build macOS Metal Delegate on TensorFlow v2.3.0 or later, You need to apply following changes the issue

[Android] You can see logs from tflite by filtering with "tflite"

# Filtering logcat only Unity and tflite
adb logcat Unity:V tflite:V "*:S"

MNIST

SSD Object Detection

DeepLab Semantic Segmentation

Style Transfer

Hand Tracking

BERT

Samples folder Assets/Samples/* is licensed under MIT

Other licenses

• TensorFlow
• Assets/StreamingAssets/*.tflite Models
• Assets/StreamingAssets/mediapipe Models
  • Some MediaPipe C# codes are based on terryky/tflite_gles_app