Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
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Updated
May 13, 2024 - Python
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Gluon CV Toolkit
OpenMMLab Pose Estimation Toolbox and Benchmark.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Visual localization made easy with hloc
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
A procedural Blender pipeline for photorealistic training image generation
The collection of pre-trained, state-of-the-art AI models for ailia SDK
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
Library for Fast and Flexible Human Pose Estimation
Network estimating 3D Handpose from single color images
A PyTorch toolkit for 2D Human Pose Estimation.
AlphaPose + ST-GCN + SORT.
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Lightweight Python library for adding real-time multi-object tracking to any detector.
Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
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