This is a Unity (>= 2022.3) Native Plugin to use MediaPipe (0.10.20).
The goal of this project is to port the MediaPipe API (C++) one by one to C# so that it can be called from Unity.
This approach may sacrifice performance when you need to call multiple APIs in a loop, but it gives you the flexibility to use MediaPipe instead.
With this plugin, you can
- Write MediaPipe code in C#.
- Run MediaPipe's official solution on Unity.
- Run your custom
Calculator
andCalculatorGraph
on Unity.⚠️ Depending on the type of input/output, you may need to write C++ code.
Here is a Hello World! example.
Compare it with the official code!
using Mediapipe;
using UnityEngine;
public sealed class HelloWorld : MonoBehaviour
{
private const string _ConfigText = @"
input_stream: ""in""
output_stream: ""out""
node {
calculator: ""PassThroughCalculator""
input_stream: ""in""
output_stream: ""out1""
}
node {
calculator: ""PassThroughCalculator""
input_stream: ""out1""
output_stream: ""out""
}
";
private void Start()
{
using var graph = new CalculatorGraph(_ConfigText);
using var poller = graph.AddOutputStreamPoller<string>("out");
graph.StartRun();
for (var i = 0; i < 10; i++)
{
graph.AddPacketToInputStream("in", Packet.CreateStringAt("Hello World!", i));
}
graph.CloseInputStream("in");
var packet = new Packet<string>();
while (poller.Next(packet))
{
Debug.Log(packet.Get());
}
graph.WaitUntilDone();
}
}
For more detailed usage, see the API Overview page or the tutorials.
Please first download the pre-built package from the releases page.
file | contents |
---|---|
MediaPipeUnityPlugin-all.zip | All the source code with required libraries. |
MediaPipeUnityPlugin-all-stripped.zip | Same as MediaPipeUnityPlugin-all.zip but the symbols are stripped. |
com.github.homuler.mediapipe-*.tgz | A tarball package |
MediaPipeUnityPlugin.*.unitypackage | A .unitypackage file |
If you need to run sample scenes on your mobile devices, prefer MediaPipeUnityPlugin-all.zip
or MediaPipeUnityPlugin-all-stripped.zip
.
To run sample scenes on your mobile devices, you need to place required models properly, but most required setup is already done in MediaPipeUnityPlugin-all.zip
.
⚠️ In most cases, you don't need to build the plugin by yourself. Only if the pre-built package doesn't work for you, please build the plugin by yourself.
This repository doesn't include required libraries or models, so if you clone this repository, you need to build the plugin by yourself.
See the build guide for more details.
If you want, you can also build the plugin by yourself using MediaPipeUnityPlugin-all(-stripped).zip
.
MediaPipeUnity.[version].unitypackage
file will be created at the project root.
- Install
npm
command - Build a tarball file
cd Packages/com.github.homuler.mediapipe
npm pack
# com.github.homuler.mediapipe-[version].tgz will be created
mv com.github.homuler.mediapipe-[version].tgz your/favorite/path
⚠️ GPU mode is not supported on macOS and Windows.
Editor | Linux (x86_64) | macOS (x86_64) | macOS (ARM64) | Windows (x86_64) | Android | iOS | WebGL | |
---|---|---|---|---|---|---|---|---|
Linux (AMD64) 1 | ✔️ | ✔️ | ✔️ | |||||
Intel Mac | ✔️ | ✔️ | ✔️ | ✔️ | ||||
M1 Mac | ✔️ | ✔️ | ✔️ | ✔️ | ||||
Windows 10/11 (AMD64) 2 | ✔️ | ✔️ | ✔️ |
This plugin implements the following MediaPipe Tasks C# APIs.
cf. The official available solutions
Solution | Android | iOS | Linux | macOS | Windows |
---|---|---|---|---|---|
LLM Inference API | |||||
Object detection | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Image classification | |||||
Image segmentation | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Interactive segmentation | |||||
Hand landmark detection | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Gesture recognition | |||||
Image embedding | |||||
Face detection | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Face landmark detection | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Face stylization | |||||
Pose landmark detection | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
Image generation | |||||
Text classification | |||||
Text embedding | |||||
Language detector | |||||
Audio classification | ✔️ | ✔️ | ✔️ | ✔️ | ✔️ |
You can also use MediaPipe Framework, which allows you to run Legacy Solutions. However, please note that support for these solutions has ended.
Once you've downloaded the pre-built package, please import the plugin into your project.
☠️ If you need to build your app for Android, please ensure you include libstdc++_shared.so
in your APK3, otherwise DllNotFoundException
will be thrown at runtime.
The easiest way to include libstdc++_shared.so
in your APK is to place it in the Assets/Plugins/Android
directory of your project.
You can also include libstdc++_shared.so
at build time by adding the following code to your mainTemplate.gradle
file, and the sample project is using this method.
// Include libc++_shared.so
task copyLibcppShared(type: Copy) {
def ndkDir = android.ndkDirectory
from("$ndkDir/sources/cxx-stl/llvm-libc++/libs") { include '**/libc++_shared.so' }
into("$projectDir/src/main/jniLibs")
}
clean.dependsOn 'cleanCopyLibcppShared'
tasks.whenTaskAdded { task ->
if (task.name == "mergeDebugJniLibFolders" || task.name == "mergeReleaseJniLibFolders") {
task.dependsOn("copyLibcppShared")
}
}
Before using the plugin in your project, it's strongly recommended that you check if sample scenes work.
Some solutions (including Legacy solutions) can be tested using the sample app.
Please check Assets/MediaPipeUnity/Samples/Scenes
to see which solutions have samples.
Select any scenes under Assets/MediaPipeUnity/Samples/Scenes
and play.
Select proper Inference Mode and Asset Loader Type from the Inspector Window.
If the native libraries are built for CPU (i.e. --desktop cpu
), select CPU
for inference mode.
For the libraries distributed on the release page, only the CPU is available for use on Windows and macOS.
The default Asset Loader Type is set to Local
, which only works on UnityEditor.
To run it on your devices, switch it to StreamingAssets
and copy the required resources under StreamingAssets
(if you're using MediaPipeUnityPlugin-all.zip
, the StreamingAssets
directory already contains them).
Since this plugin uses native libraries under the hood, if there is a bug in those libraries, the UnityEditor or the application may crash at runtime.
Additionally, in some cases, MediaPipe may crash the entire program by sending a SIGABRT
signal instead of throwing an exception.
This may not be a problem in production since it usually happens when there's a fatal bug in the application code, and such bugs are probably fixed before release.
However, in a development environment, it is very annoying since the UnityEditor crashes.
On Linux and macOS, this plugin avoids UnityEditor crashing by handling SIGABRT
, so if UnityEditor crashes, please let us know!
On Windows, there seem to be no ways to handle SIGABRT
properly, so if you cannot tolerate this, use a different OS.
If you want to run inference using a GPU, you cannot use OpenGL Core API. Otherwise, you will encounter an error like the following:
InternalException: INTERNAL: ; eglMakeCurrent() returned error 0x3000_mediapipe/mediapipe/gpu/gl_context_egl.cc:261)
In practice, this error only occurs on PC standalone builds, and in such cases, please switch the Graphics API to Vulkan.
Note that some files are distributed under other licenses.
- MediaPipe (Apache Licence 2.0)
- emscripten (MIT)
third_party/mediapipe_emscripten_patch.diff
contains code copied from emscripten
- FontAwesome (LICENSE)
- Sample scenes use Font Awesome fonts
See also Third Party Notices.md.
Footnotes
-
Tested on Arch Linux. ↩
-
Running MediaPipe on Windows is experimental. ↩
-
mediapipe_android.aar
containslibopencv_java4.so
and it depends onlibstdc++_shared.so
. However, some project or plugins may already includelibstdc++_shared.so
, so we don't includelibstdc++_shared.so
inmediapipe_android.aar
. ↩