AvatarPoser
openpifpaf
AvatarPoser | openpifpaf | |
---|---|---|
3 | 1 | |
274 | 1,129 | |
2.6% | 0.7% | |
2.8 | 3.6 | |
about 2 months ago | 16 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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AvatarPoser
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AvatarPoser - full body pose tracking from nothing but the 6D input of headset and controllers or hands
https://github.com/eth-siplab/AvatarPoser I see legs moving. I see squatting, sitting, the lot. This definitely won't be a practical use case for a while, but I don't know how this is any less FBT than a Kinect camera.
openpifpaf
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Human Pose Estimation Recommendation
OpenPifPaf is decent, easier to install on newer systems than OpenPose imo.
What are some alternatives?
metrabs - Estimate absolute 3D human poses from RGB images.
mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.
Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
AlphaPose - Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
blender-retarget - Applies animation from one armature to another
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
posenet-python - A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
awesome-holography - A curated list of resources on holographic displays.
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.