unitypackage_extractor
OpenSeeFace
| unitypackage_extractor | OpenSeeFace | |
|---|---|---|
| 1 | 7 | |
| 489 | 1,318 | |
| - | - | |
| 0.0 | 4.2 | |
| about 1 year 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.
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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.
unitypackage_extractor
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VRChat Users FAQ
3.) Q: How do I upload my VRChat avatar to Neos? A: Neos does not support unity packages. So there are a few ways you'll need to go about this. All of which a mentor or seasoned user can most likely help you with. If you have all the assets for your avatar on hand already (the .fbx and .png files needed) then simply import them into Neos using the answers from question 2. If you are new you can ask another user or a mentor for help setting it up from there. If they are stuck in a unity package, you'll either need to download Unity and extract the content using the unity SDK or you can check out this application. https://github.com/Cobertos/unitypackage_extractor
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?
WallpaperOS - A Windows app that changes the wallpaper daily using images generated with AI
openseeface-gd - A GUI for running OpenSeeFace.
verifier - A Unity (Unity3d) asset store invoice verification discord bot that allows users to verify their own asset store purchases and automatically assign discord permission/access to locked channels.
kalidokit - Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
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/
vpuppr - VTuber application made with Godot 4
VTuber_Unity - Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Insta-DM - Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)
Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment - This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models