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3 Repos

Awesome GitHub Repositories3D Pose Estimation

Methods for determining object or camera orientation in 3D space.

Explore 3 awesome GitHub repositories matching part of an awesome list · 3D Pose Estimation. Refine with filters or upvote what's useful.

Awesome 3D Pose Estimation GitHub Repositories

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  • open-mmlab/mmposeAvatar von open-mmlab

    open-mmlab/mmpose

    7,374Auf GitHub ansehen↗

    MMPose is a PyTorch-based pose estimation toolbox and deep learning training pipeline designed for detecting 2D and 3D keypoints on humans, animals, and faces. It serves as a computer vision model zoo and a framework for both 2D pose estimation and 3D pose lifting. The project is distinguished by its modular architecture and extensibility, employing a registry-based system and hierarchical configurations to allow for custom algorithm integration and model pipeline customization. It supports diverse estimation paradigms, including top-down, bottom-up, and two-stage pose lifting workflows. The

    Analyzes RGB images to determine the 3D positions and orientations of multiple interacting hands.

    Pythonanimal-pose-estimationbenchmarkcpm
    Auf GitHub ansehen↗7,374
  • forth-modelbasedtracker/mocapnetAvatar von FORTH-ModelBasedTracker

    FORTH-ModelBasedTracker/MocapNET

    943Auf GitHub ansehen↗

    One click deployment in Google Collab :

    Real-time 3D human pose estimation method.

    C++
    Auf GitHub ansehen↗943
  • jiajunwu/3dinnAvatar von jiajunwu

    jiajunwu/3dinn

    107Auf GitHub ansehen↗

    This repository contains pre-trained models and evaluation code for the project 'Single Image 3D Interpreter Network' (ECCV 2016).

    Single image 3D shape interpreter network.

    Matlab
    Auf GitHub ansehen↗107
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  4. 3D Pose Estimation

Unter-Tags erkunden

  • Interacting Hand Pose EstimationEstimating the 3D positions and orientations of multiple hands that are interacting with each other. **Distinct from 3D Pose Estimation:** A specialized sub-domain of 3D pose estimation focusing specifically on multi-hand interaction.