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
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
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
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
⚡️The spatial perception framework for rapidly building smart robots and spaces
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