MSPNMulti-Stage Pose Network
Stars: ✭ 321 (-29.3%)
handobjectconsist[cvpr 20] Demo, training and evaluation code for joint hand-object pose estimation in sparsely annotated videos
Stars: ✭ 100 (-77.97%)
HybrIKOfficial code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Stars: ✭ 395 (-13%)
Detectron.pytorchA pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Stars: ✭ 2,805 (+517.84%)
Pose Residual NetworkCode for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
Stars: ✭ 337 (-25.77%)
ICONICON: Implicit Clothed humans Obtained from Normals (CVPR 2022)
Stars: ✭ 641 (+41.19%)
ONNX-Mobile-Human-Pose-3DPython scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.
Stars: ✭ 69 (-84.8%)
Indoor-SfMLearner[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Stars: ✭ 115 (-74.67%)
mediapipe-oscMediaPipe examples which stream their detections over OSC.
Stars: ✭ 26 (-94.27%)
OPVOSample code of BMVC 2017 paper: "Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities"
Stars: ✭ 40 (-91.19%)
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.
Stars: ✭ 354 (-22.03%)
LEMOOfficial Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Stars: ✭ 149 (-67.18%)
EgoPoseOfficial PyTorch Implementation of "Ego-Pose Estimation and Forecasting as Real-Time PD Control". ICCV 2019.
Stars: ✭ 65 (-85.68%)
Actionaicustom human activity recognition modules by pose estimation and cascaded inference using sklearn API
Stars: ✭ 404 (-11.01%)
articulated-pose[CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation
Stars: ✭ 85 (-81.28%)
sleapA deep learning framework for multi-animal pose tracking.
Stars: ✭ 200 (-55.95%)
StarECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor
Stars: ✭ 296 (-34.8%)
cvxpnplA Perspective-n-Points-and-Lines method.
Stars: ✭ 56 (-87.67%)
tensorrt-examplesTensorRT Examples (TensorRT, Jetson Nano, Python, C++)
Stars: ✭ 31 (-93.17%)
EgoNetOfficial project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"
Stars: ✭ 111 (-75.55%)
slamkitSLAM Kit
Stars: ✭ 28 (-93.83%)
Tf.fashionaiFull pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow
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Densebody pytorchPyTorch implementation of CloudWalk's recent work DenseBody
Stars: ✭ 378 (-16.74%)
MobileNetV2-PoseEstimationTensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.
Stars: ✭ 99 (-78.19%)
Pose Residual Network PytorchCode for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067
Stars: ✭ 277 (-38.99%)
Primer-MotionCaptureA Primer on Motion Capture with Deep Learning:Principles, Pitfalls and Perspectives
Stars: ✭ 19 (-95.81%)
sc depth plPytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.
Stars: ✭ 86 (-81.06%)
RmpeRMPE: Regional Multi-person Pose Estimation, forked from Caffe. Research purpose only.
Stars: ✭ 258 (-43.17%)
HRFormerThis is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".
Stars: ✭ 357 (-21.37%)
Pytorch Human Pose EstimationImplementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Stars: ✭ 346 (-23.79%)
LoFTRCode for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
Stars: ✭ 1,046 (+130.4%)
label-studio-frontendData labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Stars: ✭ 230 (-49.34%)
deep underwater localizationSource Code for "DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization", submitted to IROS 2020
Stars: ✭ 13 (-97.14%)
openpose-dockerA docker build file for CMU openpose with Python API support
Stars: ✭ 68 (-85.02%)
PoseflowPoseFlow: Efficient Online Pose Tracking (BMVC'18)
Stars: ✭ 330 (-27.31%)
rmpe dataset serverRealtime Multi-Person Pose Estimation data server. Used as a training and validation data provider in training process.
Stars: ✭ 14 (-96.92%)
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 (-66.3%)
Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Stars: ✭ 3,856 (+749.34%)
TransPosePyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.
Stars: ✭ 250 (-44.93%)
StarMapStarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Stars: ✭ 97 (-78.63%)
eval-mpii-poseEvaluation code for the MPII human pose dataset
Stars: ✭ 58 (-87.22%)
ViPNASThe official repo for CVPR2021——ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search.
Stars: ✭ 32 (-92.95%)
OpenposeOpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Stars: ✭ 22,892 (+4942.29%)
Pose2segCode for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
Stars: ✭ 423 (-6.83%)
Pytorch CpnA PyTorch re-implementation of CPN (Cascaded Pyramid Network for Multi-Person Pose Estimation)
Stars: ✭ 403 (-11.23%)
MspnMulti-Stage Pose Network
Stars: ✭ 283 (-37.67%)
openpifpafOfficial implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Stars: ✭ 900 (+98.24%)