UnityPack
OpenSeeFace
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| UnityPack | OpenSeeFace | |
|---|---|---|
| 2 | 7 | |
| 707 | 1,312 | |
| 0.3% | - | |
| 0.0 | 4.2 | |
| over 2 years ago | 3 months ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
UnityPack
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Show HN: Unblob – extraction suite for 30+ file formats
Since you're the author and I see the tool is in Python. I'm the original author of UnityPack (https://github.com/hearthsim/unitypack - nowadays, the fork UnityPy is more powerful and maintained: https://github.com/K0lb3/UnityPy).
It's in Python and is able to deserialize Unity archives, treating them as a serialization format rather than a simple archive format. Feel free to email me if you want to integrate something like this or you have questions :)
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Open Source Adventures: Episode 47: How BATTLETECH DLCs Store Data
I tried UnityPack, but its dependency decrunch crashes if I try to pip3 install decrunch.
OpenSeeFace
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Getting face feature pose statistics
I got something working modifying OpenSeeFace and it's an option and I might try to rewrite it in something compiled, but I'd like to look at the other options first.
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This may be a silly question but can I hire someone to make me a customized avatar for vr chat?
Lastly, face tracking is either built in or uses a plugin device. You would also use OSC to manipulate blendshapes. I'd take a look at Opens Face.
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Any recommendations for VTuber setup on Linux? Ideally something that's completely open source.
Th best/only options I found were basically the old standby of Wine running closed source applications. Even then the end result was rather incomplete... because may of the best tracking options are simply closed source. (Note: Vseeface does offer an open source library)
- Running OpenSeeFace on Linux with python 3.10
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Open map with gaze tracking for someone with paralysis
There are only a few libraries that come to mind but take a bit of work to get started. MediaPipe Unity Plugin has eye tracking with a whole lot of types of tracking(head, hands, body). OpenSeeFace has models that do head and eye tracking. This repo uses Unity's neural net inference library, Barracuda, to run a MediaPipe iris landmark model (I haven't personally tested this library). Not sure how to translate eye landmarks to the position a player is looking at in a screen though. Hopefully this list of libraries gets you on the right path!
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I'm going to try to use VSeeFace again, is there a way to change how lip syncing works?
OpenSeeFace is open source. If you are using it with VSeeFace, you can just replace the Binary folder with your own build.
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I'm making a renderer for facetracking data
It uses OpenSeeFace for facetracking and engine patches/vrm code from the V-Sekai team.
What are some alternatives?
dtrx - Do The Right Extraction
openseeface-gd - A GUI for running OpenSeeFace.
unblob - Extract files from any kind of container formats
kalidokit - Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
gesticulating_agent_unity - The official code for our paper "A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents", published as a demonstration at AAMAS 2021.
UniVRM - UniVRM is a gltf-based VRM format implementation for Unity. English is here https://vrm.dev/en/ . 日本語 はこちら https://vrm.dev/
pyperscan
vpuppr - VTuber application made with Godot 4
UnityPy - UnityPy is python module that makes it possible to extract/unpack and edit Unity assets
VTuber_Unity - Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
ofrak - OFRAK: unpack, modify, and repack binaries.
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.