OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
Aug 3, 2024 - C++
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Sandbox for training deep learning networks
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
A collection of awesome resources in Human Pose estimation.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
Human Pose Estimation Related Publication
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
A PyTorch toolkit for 2D Human Pose Estimation.
💃 Real-time single person pose estimation for Android and iOS.
Real-time pose estimation accelerated with NVIDIA TensorRT
⚡️The spatial perception framework for rapidly building smart robots and spaces
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
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