Pose Estimation Python Packages

ultralytics

Ultralytics YOLO 🚀

norfair

Lightweight Python library for adding real-time multi-object tracking to any detector.

gluoncv

Gluon CV Toolkit

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

rtmlib

RTMPose series (RTMPose, DWPose, RTMO, RTMW) without mmcv, mmpose, mmdet etc.

ultralytics-opencv-headless

Ultralytics YOLO 🚀

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

pypose

A library for differentiable robotics on manifolds.

stag-python

Python Package for STag - A Stable, Occlusion-Resistant Fiducial Marker System

openpifpaf

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

napari-deeplabcut

a napari plugin for labeling and refining keypoint data within DeepLabCut projects

x-anylabeling-cvhub

Effortless data labeling with AI support from Segment Anything and other awesome models.

pose2sim

Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion

skellytracker

A pose estimation and object detection/tracking backend for freemocap.

blenderproc

A procedural Blender pipeline for photorealistic training image generation

sleap

A deep learning framework for multi-animal pose tracking.

ikomia

Deploy Computer Vision solutions with a few lines of code.

sports2d

Compute 2D human pose and angles from a video or a webcam.

yolozu

Framework-agnostic vision toolkit for training and evaluation

genz-icp

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

lightning-pose

Accelerated pose estimation and tracking using semi-supervised learning

aipose

Library to use pose estimation in your projects easily

zmkj-rknn-yolov8

自用rknn yolov8 版本 只修复了 weights_only=False 问题 来源https://github.com/airockchip/ultralytics_yolov8 8.0.151 v1.6分支

annolid

An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.