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
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
Human Pose estimation with TensorFlow framework
💃 Real-time single person pose estimation for Android and iOS.
Algorithms and Publications on 3D Object Tracking
We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensembl…
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Real-time head pose estimation built with OpenCV and dlib
NVIDIA Deep learning Dataset Synthesizer (NDDS)
Nuitrack™ is a 3D tracking middleware developed by 3DiVi Inc.
PoseFlow: Efficient Online Pose Tracking (BMVC'18)
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Deep learned, NVIDIA-accelerated 3D object pose estimation
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
[T-PAMI'25] PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22
C++ Implementation of SMPL: A Skinned Multi-Person Linear Model
Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.
RMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.
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