IMPORT TO LIVE2D ANIMATOR HOW TO
IMPORT TO LIVE2D ANIMATOR LICENSE

This guide is appropriate for all Live2D models, including models that you may have used as avatars in FaceRig!

IMPORT TO LIVE2D ANIMATOR HOW TO

If you have a Live2D model that you would like to use as an Animaze avatar, this guide will tell you how to do it.

IMPORT TO LIVE2D ANIMATOR LICENSE

The Unity Chan model in the Unity Packages provided is distributed under Unity-Chan License В© Unity Technologies Japan/UCL.Animaze makes it easy to turn almost any Live2D model into a fully-functioning avatar in a few simple steps. References/ CreditsДetect 468 Face Landmarks in Real-time | OpenCV Python | Computer Vision - Murtaza's Workshop - Robotics and AIД®ye motion tracking - Opencv with Python - Pysoruce Project The same project is tested on a M1 Max device, running in rosetta. The whole project is run on a laptop with Intel Core i5-8250U, with 16GB RAM and integrated graphic card only. (For Windows, it is recommended to run this project using Anaconda and create a virtual environment before installing such packages.) (Later version should be supported as well) exe, which can be run on other computers. Make sure you run the Unity Scene first before running the python scriptД«oth the python scripts and the unity project can be exported to. However, implemented with the recent FaceMesh model in Mediapipe, accurate detection and tracking can be run smoothly using CPU only, making running on computers with mediocre graphic cards or laptops with integrated graphic cards possible. Curious about the technology behind, I create this project after multiple researches.Д®xisting projects rely on Dlib, which although providing reliable and accurate facial landmark detection, requires decent graphic cards to run.

Using avatars for streaming, content creation and VR gaming has been gaining increasing popularity, especially the boom of Hololive and other related companies active apperances in social media platforms such as YouTube and Twitter. Whole Unity Projects (in packages) and Scripts for both 3D (Unitењњhan) and Live2D (Hiyori) models The points of the 3D Canonical model used in Mediapipe. Various facial features detection implementation, including blinking, iris detection and mouth movement. Implementation of Kalman Filter to stabilize the values.

The module which estimates your pose/ orientation of your head based on the landmarks. The module which is used to detect your face and generate the facial landmarks.

Detailed and thorough explanation videos (with EN and ZH subtitles) playlistДue to Github file size limitation, most of the folders in the unity chan sample project are removed, yet the project can still run File Explanation File.

Including sample (Unity) projects for both 3D and Live2D models.

Saveload mechanism to save and load your preferences in Unity.

Simple and clean UI for adjusting the sensibility of detection in Unity.

Running smooth 30 FPS with CPU only for the aformentioned features.

Various facial expressions detection including eye blinking, iris and mouth movements.

Facial landmarks detection and movement tracking supported by Facemesh by Mediapipe.

Supporting face movement tracking, eye blinking detection, iris detection and tracking and mouth movement tracking using CPU only. An Implementation of VTuber (Both 3D and Live2D) using Python and Unity.

Import to live2d animator