project
MetaHuman-Stream - Real-time interactive streaming AI digital human technology
MetaHuman-Stream is a cutting-edge real-time interactive streaming AI digital human technology that integrates multiple advanced models such as ERNerf, MuseTalk, and Wav2lip. It supports voice cloning and deep learning algorithms to ensure smooth and natural dialogue...
What is MetaHuman-Stream?
MetaHuman-Stream is a cutting-edge real-time interactive streaming AI digital human technology that integrates multiple advanced models such as ERNerf, MuseTalk, and Wav2lip. It supports voice cloning and deep learning algorithms to ensure smooth and natural dialogue. Through full-body video integration and low-latency communication technology, it provides an immersive experience suitable for various scenarios including online education, customer service, gaming, and news, driving innovation and development of digital human technology in practical applications.
Main functions of MetaHuman-Stream
- Multi-model supportIt integrates multiple digital human models such as ERNerf, MuseTalk, and Wav2lip to adapt to different application needs.
- Sound cloningIt allows users to clone their own voices, making the voices of digital humans more personalized and realistic.
- Dialogue processing capabilitiesIt employs deep learning algorithms to maintain a smooth interactive experience even when interrupted during a conversation.
- Full-body video integrationIt supports the splicing and integration of full-body videos, providing a more realistic and vivid visual experience.
- Low-latency communicationSupports RTMP and WebRTC protocols to ensure real-time transmission and low latency of audio and video data.
The technical principles of MetaHuman-Stream
- Audio and video synchronization technologyThrough precise audio and video synchronization algorithms, the digital human's lip movements, facial expressions, and body movements are synchronized with the audio signal, providing a natural and smooth interactive experience.
- Deep learning algorithmsIt utilizes deep learning models to process audio signals, enabling speech recognition and voice cloning, while simultaneously analyzing video signals to drive the actions and expressions of digital human models.
- Digital human model drivenUsing 3D modeling and animation technology, combined with deep learning algorithms, the digital human model is driven in real time and can imitate the movements and expressions of real humans.
- Full-body video stitching technology: By using video processing technology, different parts of the video (such as the head, body, etc.) are spliced together to form a complete digital human video output.
MetaHuman-Stream project address
- Github repository:https://github.com/lipku/metahuman-stream
How to use MetaHuman-Stream
- Environmental preparation:Ensure your system meets the requirements for running MetaHuman-Stream, such as operating system (Ubuntu 20.04 recommended), Python version (3.10), PyTorch version (1.12), and CUDA version (11.3).
- Install dependencies:Use Conda to create a new Python environment and activate it.Install PyTorch, torchvision, and CUDA toolkit.Use pip to install other dependencies of MetaHuman-Stream, such as
requirements.txtThe libraries listed in the document. - Get MetaHuman-Stream code:Cloning MetaHuman-Stream via Git GitHub repositoryArrive at the local location.
- Running SRS server(If using WebRTC streaming):Run an SRS instance using Docker and configure the appropriate port mappings.
- Launch the MetaHuman-Stream application:Run in the root directory of MetaHuman-Stream
app.pyA script is used to launch the digital human application.
Application scenarios of MetaHuman-Stream
- Online EducationAs a virtual teacher, MetaHuman-Stream can provide real-time interactive online courses, enhancing the student learning experience.
- Enterprise Customer ServiceAs an intelligent customer service provider, MetaHuman-Stream offers 24/7 customer service, improving response efficiency and customer satisfaction.
- Games and EntertainmentIn the gaming industry, MetaHuman-Stream can be used to create highly interactive characters, enhancing player immersion.
- News reportAs a virtual news anchor, MetaHuman-Stream can broadcast news, reducing production costs while providing a novel viewing experience.
- Virtual streamerIn the live streaming field, MetaHuman-Stream can act as a virtual anchor to conduct live broadcasts, attracting viewers and providing diverse interactive experiences.