3DObjectTrackingOfficial Code: A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking
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tensorrt-examplesTensorRT Examples (TensorRT, Jetson Nano, Python, C++)
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NSRMhand[WACV 2020] "Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation"
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Head Pose EstimationReal-time head pose estimation built with OpenCV and dlib
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CenterNet-pytorch-lightningRefactored implementation of CenterNet (Objects as Points - Zhou, Xingyi et. al.) shipping with PyTorch Lightning modules
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openpifpafOfficial implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
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icra20-hand-object-pose[ICRA 2020] Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
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OatReal-time position tracker for behavioral research
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realantRealAnt robot platform for low-cost, real-world reinforcement learning
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Indoor-SfMLearner[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
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Face Pose NetEstimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network
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movenet.pytorchA Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
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Monoloco[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
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OPVOSample code of BMVC 2017 paper: "Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities"
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Map Based Visual LocalizationA general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.
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OpenposeOpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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LEMOOfficial Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
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Pose2segCode for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
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MocapnetWe present MocapNET2, 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 ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).
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A2jCode for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
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awesome-6d-objectAwesome work on object 6 DoF pose estimation
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AmassData preparation and loader for AMASS
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Actionaicustom human activity recognition modules by pose estimation and cascaded inference using sklearn API
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Densereg3D hand pose estimation via dense regression
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MSPNMulti-Stage Pose Network
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OchumanapiAPI for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
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Pytorch PoseA PyTorch toolkit for 2D Human Pose Estimation.
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articulated-pose[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
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Lili OmLiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
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Pytorch CpnA PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
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SynthdetSynthDet - An end-to-end object detection pipeline using synthetic data
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ICONICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
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Posenet CoremlI checked the performance by running PoseNet on CoreML
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sleapA deep learning framework for multi-animal pose tracking.
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PazHierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.
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Libfaceidlibfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
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HybrIKOfficial code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
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StagSTag: A Stable Fiducial Marker System
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Pose Tensorflow Human Pose estimation with TensorFlow framework
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Gluon CvGluon CV Toolkit
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StarMapStarMap for Category-Agnostic Keypoint and Viewpoint Estimation
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qml-arSeamless Augmented Reality module for QML using UchiyaMarkers
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