OpenMMLab Pose Estimation Toolbox and Benchmark.
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Updated
May 26, 2024 - Python
OpenMMLab Pose Estimation Toolbox and Benchmark.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.
Easy and fast 2d human and animal multi pose estimation using SOTA ViTPose [Y. Xu et al., 2022] Real-time performances and multiple skeletons supported.
Official code of [AAAI2024] Expressive Forecasting of 3D Whole-body Human Motions
Code repository for the paper: Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild (ICCV 2021)
[CVPR 2023] DiffPose: Toward More Reliable 3D Pose Estimation
An unofficial implementation of ViTPose [Y. Xu et al., 2022]
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
This Unity package provides an easy-to-use and customizable solution to work with and visualize 2D human poses on a Unity canvas.
pose-driven human natural image generation based on latent diffusion model
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Implementation for Human Pose Estimation using OpenCV
A simple wrapper to localize human joints from images/video frames for multiple subjects.
Real-time pose estimation accelerated with NVIDIA TensorRT
NeurIPS-2021: Direct Multi-view Multi-person 3D Human Pose Estimation
Fast and accurate single-person pose estimation, ranked 10th at CVPR'19 LIP challenge. Contains implementation of "Global Context for Convolutional Pose Machines" paper.
Mask R-CNN for Human Pose Estimation on Keras and TensorFlow.
Code for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
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