SCRN-VRC/SimpNet-Deep-Learning-in-a-Shader
A trainable convolutional neural network inside a fragment shader
This project helps VRChat creators and users implement live image classification directly within the VRChat environment. It takes a visual input, such as an image from a virtual camera, and outputs a classification result, like identifying a fruit or a person's age. This is designed for VRChat world builders and avatar creators who want to add interactive, real-time image recognition features to their creations.
122 stars. No commits in the last 6 months.
Use this if you want to add real-time, in-game image classification capabilities to your VRChat avatars or worlds without needing external services.
Not ideal if you need highly accurate, production-grade image recognition for critical applications or are looking for a general-purpose machine learning library outside of VRChat.
Stars
122
Forks
7
Language
GLSL
License
MIT
Category
Last pushed
Jun 21, 2021
Commits (30d)
0
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