OpenSeeFace
Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
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OpenSeeFace | Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment | |
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7 | 2 | |
1,312 | 45 | |
- | - | |
4.2 | 0.0 | |
2 months ago | almost 3 years ago | |
Python | C# | |
BSD 2-clause "Simplified" License | MIT License |
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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.
Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
- Simulation based Traffic Sign Recognition Benchmark - A simulation framework developed for training autonomous-driving systems for traffic sign recognition
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Simulation-based Traffic Sign Recognition Benchmark (STSRB)
Check out the GitHub link for more information: https://github.com/alen-smajic/Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
What are some alternatives?
openseeface-gd - A GUI for running OpenSeeFace.
flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
kalidokit - Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Alturos.Yolo - C# Yolo Darknet Wrapper (real-time object detection)
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/
com.unity.perception - Perception toolkit for sim2real training and validation in Unity
vpuppr - VTuber application made with Godot 4
ailab - Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
VTuber_Unity - Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
3D-Public-Transport-Simulator - The 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.