6DRepNet
pytorch-geodesic-loss
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| 6DRepNet | pytorch-geodesic-loss | |
|---|---|---|
| 4 | 1 | |
| 499 | 30 | |
| - | - | |
| 3.7 | 1.8 | |
| about 1 month ago | about 1 year ago | |
| Python | Python | |
| MIT License | - |
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6DRepNet
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How to do Human Head Segmentation from images?
Well so it sounds like you want to do something like DeepFaceLab? I don't have a lot of experience with that but I believe they collect facial images based on their angles (pitch, roll and yaw) and match and merge them together. So something like this might help you there: https://github.com/thohemp/6DRepNet
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Head Pose Estimation
I found this was the easiest one to get installed and up and running: https://github.com/thohemp/6DRepNet
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[R] 6D Rotation Representation For Unconstrained Head Pose
Code for https://arxiv.org/abs/2202.12555 found: https://github.com/thohemp/6DRepNet
pytorch-geodesic-loss
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[R] 6D Rotation Representation For Unconstrained Head Pose
Nice! I support using the geodesic distance for pose-estimation problems. I actually put my own geodesic distance PyTorch criterion on GitHub at the beginning of 2021.
What are some alternatives?
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
pytorch-learn-reinforcement-learning - A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning
DeepPoseKit - a toolkit for pose estimation using deep learning
PoseNDF - Implementation of Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
RSCalibration - Docs and scripts to estimate a camera's rolling shutter readout time
taylor - Taylor will tell you why your project is SO late
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python