The project used in this article is on the
master branch is currently used for development and does not guarantee stability.
This demo project shows how to enable the CoreML to work with AR Foundation in Unity.
It is based on the repo implemented on the native iOS platform by Gil Nakache.
The ARFoundation Plugin’s version is 1.5.0-preview.5, you can find it inside the ARPackages folder.
For hand detection, the plugin uses the HandModel machine learning model. This model is from the same repo mentioned above inside the CoreML folder.
Unity Version: 2018.3.13f1
Xcode Version: 10.2.1
iPhone 7: 12.3.1
Import ARFoundation Plugin
For convenience, I use the local package import. This is very simple, just modify the manifest.json file in the package folder and add the local package in the project manifest.
"com.unity.xr.arfoundation": "file:../ARPackages/com.unity.xr.arfoundation", "com.unity.xr.arkit": "file:../ARPackages/com.unity.xr.arkit
Create a Swift plugin for Unity
In order for C# to communicate with Swift, you need to create an object-c file as a bridge.
There is a sample. This proj demonstrates how to create a Swift plugin for Unity and print “Hello, I’m Swift” in Unity.
In the Unity-ARFoundation-HandDetection Proj, the structure of the plugins folder is as follows:
<Plugins> └── iOS ├── HandDetector │ ├── Native │ │ ├──HandDetector.swift │ │ └──HandDetectorBridge.mm │ └── Managed │ └──HandDetector.cs └── Unity
I’ve written an article to describ the process for integrating CoreML and AR Foundation to detect and track the hand.
Licensed under Apache 2.0.
Unity Native Plugin API headers licensed under Unity Companion License, please see the header contents for details.
Unity-Chan is provided under the Unity-Chan License 2.0 terms. Please refer to the following link for information regarding the Unity-Chan License.