Porting of "TensorFlow Lite Examples" and some utilities for Unity.
Tested on
Included examples:
Included prebuilt libraries:
iOS | Android | macOS | Ubuntu | Windows | |
---|---|---|---|---|---|
Core CPU | ✅ | ✅ | ✅ | ✅ | ✅ |
Metal Delegate | ✅ | - | ✅ | - | - |
GPU Delegate | - | ✅ | - | ✅ Experimental | - |
NNAPI Delegate | - | ✅ | - | - | - |
[!IMPORTANT]
You need to install Git-LFS.
Packages/manifest.json
and add the following lines into the scopedRegistries
and dependencies
sections.{
"scopedRegistries": [
{
"name": "package.openupm.com",
"url": "https://package.openupm.com",
"scopes": [
"com.cysharp.unitask"
]
},
{
"name": "npm",
"url": "https://registry.npmjs.com",
"scopes": [
"com.github.asus4"
]
}
],
"dependencies": {
// Core TensorFlow Lite libraries
"com.github.asus4.tflite": "2.17.0",
// Optional: Utilities for TFLite
"com.github.asus4.tflite.common": "2.17.0",
// Optional: Utilities for MediaPipe
"com.github.asus4.mediapipe": "2.17.0",
// Optional: Async methods are available only when UniTask is installed
"com.cysharp.unitask": "2.5.10",
...// other dependencies
}
}
Pre-built libraries are included in the UPM package. Also, you can find TFLite libraries at tflite-runtime-builder from TFLite v2.14.0 or later.
If you want to build the latest TFLite yourself, Follow the below instructions:
./configure
in the TensorFlow libraryRun ./build_tflite.py
(Python3) to build for each platform
# Update iOS, Android and macOS
./build_tflite.py --tfpath ../tensorflow -ios -android -macos
# Build with XNNPACK
./build_tflite.py --tfpath ../tensorflow -macos -xnnpack
MNIST
SSD Object Detection
DeepLab Semantic Segmentation
Style Transfer
Hand Tracking
BERT
Samples folder Assets/Samples/*
is licensed under MIT
MIT License
Copyright (c) 2024 Koki Ibukuro
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Other Licenses
Model Licenses
📌 : Each TensorFlow Lite model might have a different license. Please check the license of the model you use.