eldar/pose-tensorflow

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1141 stars · 377 forks observed · 2026-08-28

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

A TensorFlow implementation of the DeeperCut and ArtTrack algorithms for human body pose estimation, supporting both single-person and multi-person pose detection from images. It includes pre-trained models, demo scripts, and training code for research use.

Use cases

• estimate human body keypoints from images
• detect poses of multiple people in a photo
• run DeeperCut pose estimation model
• track articulated multi-person poses in the wild
• train a custom pose estimation model on MPII or COCO
• reproduce results from the DeeperCut and ArtTrack papers

When to choose

• you need to reproduce or build on the DeeperCut/ArtTrack research papers
• you want a TensorFlow 1.x-based multi-person pose estimation implementation with pre-trained models
• you are doing academic research on human pose estimation

When to avoid

• you need a maintained library - the project has not been updated since 2019 and targets old TensorFlow versions
• you want modern pose estimation models like MoveNet, HRNet, or YOLO-pose
• you need production deployment or easy installation - the setup is research-grade with legacy dependencies

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning python pose-estimation tensorflow deepercut arttrack multi-person-pose human-pose research-code linux gpu

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markdown · JSON · MCP: product_card(name="eldar/pose-tensorflow")