A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.

Overview


mocap4face by Facemoji
mocap4face by Facemoji

mocap4face by Facemoji is a free, multiplatform SDK for real-time facial motion capture based on Facial Action Coding System or (FACS). It provides real-time FACS-derived blendshape coefficients, and rigid head pose in 3D space from any mobile camera, webcam, photo, or video enabling live animation of 3D avatars, digital characters, and more.

After fetching the input from one of the mentioned sources, mocap4face SDK produces data in ARKit-compatible blendshapes, i.e., morph targets weight values as a per-frame expression shown in the video below. Useful for, e.g., animating a 2D or 3D avatar in a way that mimics the user's facial expressions in real-time à la Apple Memoji but without the need of a hardware-based TrueDepth Camera.

With mocap4face, you can drive live avatars, build Snapchat-like lenses, AR experiences, face filters that trigger actions, VTubing apps, and more with as little energy impact and CPU/GPU use as possible. As an example, check out how the popular avatar live-streaming app REALITY is using our SDK.

Please Star us on GitHub—it motivates us a lot!

📋 Table of Content

🤓 Tech Specs

Key Features

  • 42 tracked facial expressions via blendshapes
  • Eye tracking including eye gaze vector
  • Tongue tracking
  • Light & fast, just 3MB ML model size
  • ≤ ±50° pitch, ≤ ±40° yaw and ≤ ±30° roll tracking coverage

🤳 Input

  • All RGB camera
  • Photo
  • Video

📦 Output

  • ARKit-compatible blendshapes
  • Head position and scale in 2D and 3D
  • Head rotation in world coordinates

Performance

  • 50 FPS on Pixel 4
  • 60 FPS on iPhone SE (1st gen)
  • 90 FPS on iPhone X or newer

💿 Installation

Prerequisites

  1. Get a new developer account at studio.facemoji.co
  2. Generate a unique API key for your app
  3. Paste the API key to your source code

iOS

  1. Open the sample XCode project and run the demo on your iOS device
  2. To use the SDK in your project, either use the bundled XCFramework directly or use the Swift Package manager (this repository also serves as a Swift PM repository)

Android

  1. Open the sample project in Android Studio and run the demo on your Android device
  2. Add this repository to the list of your Maven repositories in your root build.gradle, for example:
allprojects {
    repositories {
        google()
        mavenCentral()
        // Any other repositories here...

        maven {
            name = "Facemoji"
            url = uri("https://facemoji.jfrog.io/artifactory/default-maven-local/")
        }
    }
}
  1. To use the SDK in your project, add implementation 'co.facemoji:mocap4face:0.1.0' to your Gradle dependencies

🚀 Use Cases

  • Live avatar experiences
  • Snapchat-like lense
  • AR experiences
  • VTubing apps
  • Live streaming apps
  • Face filters
  • AR games with facial triggers
  • Beauty AR
  • Virtual try-on
  • Play to earn games

❤️ Links

📄 License

This library is provided under the Facemoji SDK License Agreement—see LICENSE.

The sample code in this repository is provided under the Facemoji Samples License

Notices

OSS used in mocap4face SDK:

Comments
  • Mainactivity  re-opened cannot be traced

    Mainactivity re-opened cannot be traced

    Only the first open MainActivity can be tracked. when back to SplashActivity and reopen Mainactivity the track result is null.

    The test code is as follows(modify SplashAtivity):

    override fun onResume() {
        super.onResume()
        Timer("Splash", false).schedule(5000) {
            startMainActivity()
        }
    }
    
    bug 
    opened by cike978 9
  • can not find any documents about how to build a app using facemoji SDK

    can not find any documents about how to build a app using facemoji SDK

    i want to build a app like the offical facemoji app, but the demo code is so simple, the SDK even has no document.

    can anyone tell me how to use the SDK to build a facemoji app ?

    opened by danlanxiaohei 3
  • Fix

    Fix "artifact not found for target 'mocap4face'" error

    Issue

    • I got "artifact not found for target 'mocap4face'" error when I tried to load mocap4face Swift Package by Xcode 13.3 mocap4face_err
      • The target name should be exactly the same as the framework name (case sensitive)

    Changes

    • Change the target name from mocap4face to Mocap4Face to match the framework name
    opened by magicien 2
  • Any plans for Windows & MacOS Support?

    Any plans for Windows & MacOS Support?

    I'm guessing if this is already cross-platform on Android, Web, and iOS that this an upcoming features. Just curious since we'd love to use this everywhere if possible

    opened by aaronn 2
  • [Question]: Is this Lib compatible with react-native?

    [Question]: Is this Lib compatible with react-native?

    It would be incredibly awesome to include this library in my React-Native start-up App but I wonder whether there's React-Native compatible SDK?

    Thanks!!!

    enhancement 
    opened by shamxeed 2
  • OpenGLResizer20: setup OES texture: glError 1282: invalid operation

    OpenGLResizer20: setup OES texture: glError 1282: invalid operation

    使用 Android 版本打开 Activity 正常,关闭页面再次启用的时候出现 OpenGLResizer20: setup OES texture: glError 1282: invalid operation

    onCameraImageArkitLink(cameraTexture: OpenGLTexture)

    cameraTexture = null

    opened by pengzhenkun 1
  • Stop face tracking

    Stop face tracking

    Hello. Thanks for the great face tracking library!

    How can I stop tracking? Something like a dispose/destroy function?

    I am using this library in web (js)

    opened by Nawarius 1
  • Status of macOS build?

    Status of macOS build?

    Has any new work been done to bring this to the Mac via catalyst?

    We primarily just want to be able to use the full camera width when running under M1 catalyst. We don't need the full feature-set, but macOS forces "non-mac" frameworks to use a cropped iPhone-like camera view even on the Mac which has a much wider view.

    opened by aaronn 0
  • Problems with one eye open and the other closed

    Problems with one eye open and the other closed

    Platform Android With one eye open and the other closed, the output is eyeBlink_L 0.7 and eyeBlink_R 0.5 Expected result is eyeBlink_L 0.7 and eyeBlink_R 0

    bug 
    opened by will4621d 2
Releases(0.3.0)
Owner
Facemoji
Avatars for apps and games.
Facemoji
"Segmenter: Transformer for Semantic Segmentation" reproduced via mmsegmentation

Segmenter-based-on-OpenMMLab "Segmenter: Transformer for Semantic Segmentation, arxiv 2105.05633." reproduced via mmsegmentation. We reproduce Segment

EricKani 22 Feb 24, 2022
Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement".

HiSD: Image-to-image Translation via Hierarchical Style Disentanglement Official pytorch implementation of paper "Image-to-image Translation

364 Dec 14, 2022
Semantic Image Synthesis with SPADE

Semantic Image Synthesis with SPADE New implementation available at imaginaire repository We have a reimplementation of the SPADE method that is more

NVIDIA Research Projects 7.3k Jan 07, 2023
Time Series Cross-Validation -- an extension for scikit-learn

TSCV: Time Series Cross-Validation This repository is a scikit-learn extension for time series cross-validation. It introduces gaps between the traini

Wenjie Zheng 222 Jan 01, 2023
The Ludii general game system, developed as part of the ERC-funded Digital Ludeme Project.

The Ludii General Game System Ludii is a general game system being developed as part of the ERC-funded Digital Ludeme Project (DLP). This repository h

Digital Ludeme Project 50 Jan 04, 2023
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.

LitMatter A template for rapid experimentation and scaling deep learning models on molecular and crystal graphs. How to use Clone this repository and

Nathan Frey 32 Dec 06, 2022
This is the first released system towards complex meters` detection and recognition, which is implemented by computer vision techniques.

A three-stage detection and recognition pipeline of complex meters in wild This is the first released system towards detection and recognition of comp

Yan Shu 19 Nov 28, 2022
Localized representation learning from Vision and Text (LoVT)

Localized Vision-Text Pre-Training Contrastive learning has proven effective for pre- training image models on unlabeled data and achieved great resul

Philip Müller 10 Dec 07, 2022
Convert onnx models to pytorch.

onnx2torch onnx2torch is an ONNX to PyTorch converter. Our converter: Is easy to use – Convert the ONNX model with the function call convert; Is easy

ENOT 264 Dec 30, 2022
Code for "AutoMTL: A Programming Framework for Automated Multi-Task Learning"

AutoMTL: A Programming Framework for Automated Multi-Task Learning This is the website for our paper "AutoMTL: A Programming Framework for Automated M

Ivy Zhang 40 Dec 04, 2022
This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework

neon_course This repository contains several jupyter notebooks to help users learn to use neon, our deep learning framework. For more information, see

Nervana 92 Jan 03, 2023
Official repository for the paper "GN-Transformer: Fusing AST and Source Code information in Graph Networks".

GN-Transformer AST This is the official repository for the paper "GN-Transformer: Fusing AST and Source Code information in Graph Networks". Data Prep

Cheng Jun-Yan 10 Nov 26, 2022
[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465

PointDSC repository PyTorch implementation of PointDSC for CVPR'2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency",

153 Dec 14, 2022
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"

MotionCLIP Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space". Please visit our webpage for mor

Guy Tevet 173 Dec 26, 2022
A Multi-modal Model Chinese Spell Checker Released on ACL2021.

ReaLiSe ReaLiSe is a multi-modal Chinese spell checking model. This the office code for the paper Read, Listen, and See: Leveraging Multimodal Informa

DaDa 106 Dec 29, 2022
Dynamic wallpaper generator.

Wiki • About • Installation About This project is a dynamic wallpaper changer. It waits untill you turn on the music, downloads album cover if it's po

3 Sep 18, 2021
Equivariant CNNs for the sphere and SO(3) implemented in PyTorch

Equivariant CNNs for the sphere and SO(3) implemented in PyTorch

Jonas Köhler 893 Dec 28, 2022
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

BasicVSR BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond Ported from https://github.com/xinntao/BasicSR Dependencie

Holy Wu 8 Jun 07, 2022
Let's create a tool to convert Thailand budget from PDF to CSV.

thailand-budget-pdf2csv Let's create a tool to convert Thailand Government Budgeting from PDF to CSV! รวมพลัง Dev แปลงงบ จาก PDF สู่ Machine-readable

Kao.Geek 88 Dec 19, 2022
The project covers common metrics for super-resolution performance evaluation.

Super-Resolution Performance Evaluation Code The project covers common metrics for super-resolution performance evaluation. Metrics support The script

xmy 10 Aug 03, 2022