GitHub topics: 2d-pose-estimation
cure-lab/SmoothNet
[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"
Language: Python - Size: 3.2 MB - Last synced at: 15 days ago - Pushed at: almost 2 years ago - Stars: 369 - Forks: 38

rese1f/UniAP
[AAAI 2024] UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning
Language: Python - Size: 1.15 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 3

aisu-programming/3D-aligned-2D-mouse-pose-estimation
CS-GY 6643 I Computer Vision (Fall 2024) - Final Project
Language: Jupyter Notebook - Size: 164 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

MiraPurkrabek/PoseAnnotator
PoseAnnotator is a simple Python tool with a GUI for annotating 2D human poses from images. It allows users to easily label key points on human figures for pose estimation tasks.
Language: Python - Size: 6.41 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

nerminsamet/houghnet
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
Language: Python - Size: 1.94 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 169 - Forks: 16

nerminsamet/HPRNet
Bottom-up whole-body pose estimation method in constant time.
Language: Python - Size: 92.8 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 57 - Forks: 8

KyungMinJin/OTPose
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos. (SMC 2022)
Language: Python - Size: 521 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

qbxlvnf11/human-pose-estimation.pytorch Fork of microsoft/human-pose-estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Size: 71.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
