human-pose-estimation

25 projetos partilham este topic do GitHub

human-pose-estimation — openpose ★34.3khuman-pose-estimationRealtime_Multi-Person_Pose_Estimation — ★5.1kdeep-high-resolution-net.pytorch — ★4.5kimgclsmob — ★3kawesome-human-pose-estimation — ★2.5klightweight-human-pose-estimation.pytorch — ★2.2kICON — ★1.7kawesome-human-pose-estimation — ★1.4kopenpifpaf — ★1.3kzed-sdk — ★1.2kyolo_ros — ★1.1k3DMPPE_POSENET_RELEASE — ★864convolutional-pose-machines-tensorflow — ★796keras_Realtime_Multi-Person_Pose_Estimation — ★783mamma — ★743lightweight-human-pose-estimation-3d-demo.pytorch — ★688openpose_train — ★616EpipolarPose — ★608simple-HRNet — ★608metrabs — ★5883DMPPE_ROOTNET_RELEASE — ★491monoloco — ★460falldetection_openpifpaf — ★430PARE — ★416V2V-PoseNet_RELEASE — ★391Realtime_Multi-Person_Po…★ 5.1kdeep-high-resolution-net…★ 4.5kimgclsmob★ 3kawesome-human-pose-estim…★ 2.5klightweight-human-pose-e…★ 2.2kICON★ 1.7kawesome-human-pose-estim…★ 1.4kopenpifpaf★ 1.3kzed-sdk★ 1.2kyolo_ros★ 1.1k3DMPPE_POSENET_RELEASE★ 864convolutional-pose-machi…★ 796keras_Realtime_Multi-Per…★ 783mamma★ 743lightweight-human-pose-e…★ 688openpose_train★ 616EpipolarPose★ 608simple-HRNet★ 608metrabs★ 5883DMPPE_ROOTNET_RELEASE★ 491monoloco★ 460falldetection_openpifpaf★ 430PARE★ 416V2V-PoseNet_RELEASE★ 391

Linhas conectam membros que estão mensuravelmente relacionados entre si. O tamanho do ponto reflete estrelas.

🧬 Membros
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
★ 34.3k
Realtime_Multi-Person_Pose_Estimation
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
★ 5.1k
deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning…
★ 4.5k
imgclsmob
Sandbox for training deep learning networks
★ 3k
awesome-human-pose-estimation
A collection of awesome resources in Human Pose estimation.
★ 2.5k
lightweight-human-pose-estimation.pytorch
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person…
★ 2.2k
ICON
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
★ 1.7k
awesome-human-pose-estimation
Human Pose Estimation Related Publication
★ 1.4k
openpifpaf
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal…
★ 1.3k
zed-sdk
⚡️The spatial perception framework for rapidly building smart robots and spaces
★ 1.2k
yolo_ros
Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2
★ 1.1k
3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose…
★ 864
convolutional-pose-machines-tensorflow
★ 796
keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
★ 783
mamma
Official code for MAMMA: Markerless Accurate Multi-person Motion Acquisition.
★ 743
lightweight-human-pose-estimation-3d-demo.pytorch
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on…
★ 688
openpose_train
Training repository for OpenPose
★ 616
EpipolarPose
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
★ 608
simple-HRNet
Multi-person Human Pose Estimation with HRNet in Pytorch
★ 608
metrabs
Estimate absolute 3D human poses from RGB images.
★ 588
3DMPPE_ROOTNET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose…
★ 491
monoloco
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and…
★ 460
falldetection_openpifpaf
Fall Detection using OpenPifPaf's Human Pose Estimation model
★ 430
PARE
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
★ 416
V2V-PoseNet_RELEASE
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and…
★ 391
🔗 Familias relacionadas

Medido a partir dos tópicos do GitHub compartilhados por ambos os projetos, ponderado pela raridade de cada tópico.