Daniil-Osokin/lightweight-human-pose-estimation.pytorch

Health v2 · maintenance only

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2241 stars · 495 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of Lightweight OpenPose for real-time 2D multi-person human pose estimation on CPU. It detects up to 18 body keypoints per person in an image and includes training, validation, and demo code.

Use cases

• detect human skeletons in images
• run real-time pose estimation on CPU
• train a lightweight OpenPose model on COCO
• estimate body keypoints for multiple people
• export pose estimation models for OpenVINO
• build fitness or motion analysis apps

When to choose

• you need fast multi-person 2D pose estimation without a GPU
• you want a reproducible PyTorch training pipeline for Lightweight OpenPose
• you target CPU deployment with OpenVINO

When to avoid

• you need 3D pose estimation
• you require state-of-the-art accuracy on COCO keypoints
• you need a maintained library with recent framework support

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python pose-estimation openpose keypoint-detection pytorch real-time-inference cpu-inference openvino coco-dataset linux gpu

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