GaitGraphOfficial repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)
Stars: ✭ 68 (+257.89%)
PCLocPose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)
Stars: ✭ 37 (+94.74%)
HPRNetBottom-up whole-body pose estimation method in constant time.
Stars: ✭ 51 (+168.42%)
eval-mpii-poseEvaluation code for the MPII human pose dataset
Stars: ✭ 58 (+205.26%)
MobilePoseLight-weight Single Person Pose Estimator
Stars: ✭ 588 (+2994.74%)
openpose-dockerA docker build file for CMU openpose with Python API support
Stars: ✭ 68 (+257.89%)
UniFormer[ICLR2022] official implementation of UniFormer
Stars: ✭ 574 (+2921.05%)
FastPosepytorch realtime multi person keypoint estimation
Stars: ✭ 36 (+89.47%)
poseviz3D Human Pose Visualizer for Python
Stars: ✭ 68 (+257.89%)
CenterNet-pytorch-lightningRefactored implementation of CenterNet (Objects as Points - Zhou, Xingyi et. al.) shipping with PyTorch Lightning modules
Stars: ✭ 53 (+178.95%)
TransPosePyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.
Stars: ✭ 250 (+1215.79%)
latent-pose-reenactmentThe authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Stars: ✭ 132 (+594.74%)
label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Stars: ✭ 230 (+1110.53%)
Openpose-based-GUI-for-Realtime-Pose-Estimate-and-Action-RecognitionGUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.
Stars: ✭ 69 (+263.16%)
slamkitSLAM Kit
Stars: ✭ 28 (+47.37%)
SRNCode for "SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation" BMVC 2019
Stars: ✭ 27 (+42.11%)
LoFTRCode for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
Stars: ✭ 1,046 (+5405.26%)
awesome-visual-localization-papersThe relocalization task aims to estimate the 6-DoF pose of a novel (unseen) frame in the coordinate system given by the prior model of the world.
Stars: ✭ 60 (+215.79%)
kapaoKAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
Stars: ✭ 604 (+3078.95%)
3DObjectTrackingOfficial Code: A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking
Stars: ✭ 375 (+1873.68%)
NSRMhand[WACV 2020] "Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation"
Stars: ✭ 95 (+400%)
AirPoseThis repository contains the code of AirPose, our multi-view fusion network for Human Pose and Shape Estimation method
Stars: ✭ 39 (+105.26%)
MobilePose-PiMobilePose deployment for Raspberry Pi
Stars: ✭ 15 (-21.05%)
HybrIKOfficial code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Stars: ✭ 395 (+1978.95%)
Deep-MVLMA tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"
Stars: ✭ 71 (+273.68%)
MSPNMulti-Stage Pose Network
Stars: ✭ 321 (+1589.47%)
DREAMDREAM: Deep Robot-to-Camera Extrinsics for Articulated Manipulators (ICRA 2020)
Stars: ✭ 109 (+473.68%)
cvxpnplA Perspective-n-Points-and-Lines method.
Stars: ✭ 56 (+194.74%)
pytorch-PyraNetPytorch version reinplement code of PyraNet , for paper : Learning Feature Pyramids for Human Pose Estimation
Stars: ✭ 32 (+68.42%)
ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
Stars: ✭ 1,102 (+5700%)
mediapipe-oscMediaPipe examples which stream their detections over OSC.
Stars: ✭ 26 (+36.84%)
android tfliteGPU Accelerated TensorFlow Lite applications on Android NDK. Higher accuracy face detection, Age and gender estimation, Human pose estimation, Artistic style transfer
Stars: ✭ 105 (+452.63%)
articulated-pose[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
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All4DepthSelf-Supervised Depth Estimation on Monocular Sequences
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kPAMkPAM: Generalizable Robotic Manipulation
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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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OffsetGuidedCode for "Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation"
Stars: ✭ 31 (+63.16%)
Keypoint Communities[ICCV '21] In this repository you find the code to our paper "Keypoint Communities".
Stars: ✭ 255 (+1242.11%)
realsense explorer botAutonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…
Stars: ✭ 61 (+221.05%)
ICONICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
Stars: ✭ 641 (+3273.68%)
flydralive, low-latency markerless multi-camera 3D animal tracking system
Stars: ✭ 52 (+173.68%)
qml-arSeamless Augmented Reality module for QML using UchiyaMarkers
Stars: ✭ 32 (+68.42%)
awesome-6d-objectAwesome work on object 6 DoF pose estimation
Stars: ✭ 252 (+1226.32%)
FASSEG-repositoryDatasets for multi-class and multi-pose face segmentation
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GA SLAM🚀 SLAM for autonomous planetary rovers with global localization
Stars: ✭ 40 (+110.53%)
trt pose handReal-time hand pose estimation and gesture classification using TensorRT
Stars: ✭ 137 (+621.05%)
sleapA deep learning framework for multi-animal pose tracking.
Stars: ✭ 200 (+952.63%)
terranA human perception library
Stars: ✭ 98 (+415.79%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (+352.63%)
HRFormerThis is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".
Stars: ✭ 357 (+1778.95%)
Robotics-Object-Pose-EstimationA complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Stars: ✭ 153 (+705.26%)
MSPNMulti-Stage Pose Network
Stars: ✭ 40 (+110.53%)