An Unreal Engine plugin that helps you use AI and ML techniques in your unreal engine project.
News | Document | Download | Demo Project | M4U Remoting(Android App) | Speech Model Packages
Free Edtion vs Commercial Edition
Introduction
MediaPipe4U provides a suite of libraries and tools for you to quickly apply artificial intelligence (AI) and machine learning (ML) techniques in Unreal Engine project. You can plug these solutions into your UE project immediately, customize them to your needs. Include motion capture , facial expression capture for your 3D avatar, text to speech (TTS), speech recorgnization (ASR), etc. All features are real-time, offline, low latency and easy to use.
What's news
Latest update: 20230829
- [fix] Fails if the file path contains characters from a Non-English language.
- [fix] Error may occur after packaging in LLM , ASR.
- [fix] Animation blueprint node error when open blueprint editor（#104, #101）
Release Notes
For the release notes, ref below:
Features
💚All features are pure C++, no Python or external programs required.
- Motion Capture
- Motion of the body
- Motion of the fingers
- Movement
- Drive 3D avatar
- Real-time
- RGB webcam supported
- Face Capture
- Facial expression.
- Arkit Blendshape compatible (52 expression)
- Live link compatible
- Real-time
- RGB webcam supported
- Multi-source Capture
- RGB WebCam
- Video File
- Image
- Living Stream (RTMP/SMTP)
- Android Device (M4U Remoting)
- LLM
- Offline
- CPU/GPU Inference
- Multiple models
- LLaMA/LLaMA2
- ChatGLM (work in progress)
- TTS
- Offline
- Real-time
- Lip-Sync
- Multiple models
- Paddle Speech: Chinese, English
- Bark: 13 languages (work in progress)
- ASR
- Offline
- Real-time
- Multiple models
- FunASR: Chinese
- Whisper: 99 languages
- Animation Data Export
- BVH export
- Pure plugins
- No external programs required
- All in Unreal Engine
Document
Download
| Unreal Engine | China Site | Global Site | Update |
|---|---|---|---|
| UE 5.0 | 奶牛快传 | One Drive | 2023-08-29 |
| UE 5.1 | 奶牛快传 | One Drive | 2023-08-29 |
| UE 5.2 | 奶牛快传 | One Drive | 2023-08-29 |
Because the plugin is precompiled and contains a large number of C++ link symbols and debug symbols, it will cost 10G disk space after decompression (most files are UE-generated binaries in Intermediate).
Don't need to worry about disk usage, this is just disk usage during development, after the project is packaged, the plug-in disk usage is 300M only (most files are GStreamer dynamic library and speech models).
Free License File Release
The license file will be published in the discussion, and the plugin package file will automatically include an license file.
M4U Remoting App
| Android Version | Download Link | Update |
|---|---|---|
| Android 7.0 or later | Download | 2023-04-21 |
About M4U Remoting
Note
This is a commercial license exclusive feature: capturing facial expressions from android device.
Free license only supports using in UE Editor, cannot be packaged this feature.
M4U Remoting Document
Demo Project
Please clone this repository to get demo project:
The demo project does not contain plugins, you need to download the plugin and copy content to the project's plugins folder to run.
Video Channels
Video Tutorials (English)
Video Tutorials (Chinese)
FAQ
If you have any questiongs, please check FAQ first. The problems listed there may be also yours. If you can’t find an answer in the FAQ, please post an issue. Private message or emal may cause the question to be mised .
Performance
Since the Windows version of MediaPipe does not support GPU inference, Windows relies on the CPU to inferring human pose estimation (see MediaPipe offical site for more details).
Evaluation
Frame Rate： 18-24 fps
CPU usage：20% (Based on DEMO project)
Testing Evnrioment
CPU： AMD 3600 CPU
RAM: 32GB
GPU: Nvidia 1660s
Follow Me
Acknowledge
- M4U used MediaPipe for motion capture and face capture.
- M4U used NVIDIA Maxine AR SDK for facal capture.
- M4U used Paddle Speech for TTS.
- M4U used FunASR for ASR.
- M4U used whisper.cpp for ASR.
- M4U used GStreamer for video and live streaming decoding.
- M4U used llama.cpp for inference of LLaMA2 model.
- M4U borrowed a lot of code from PowerIK for ground ik.
- M4U borrowed a lot of ideas from Kalidokit for mocap.
- M4U borrowed a lot of code from wongfei for gstreamer/mediapipe integration.