bearpaw/pytorch-pose

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1121 stars · 249 forks observed · 2026-08-28

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

A PyTorch toolkit implementing a general pipeline for 2D single-human pose estimation, with training, inference, and evaluation interfaces plus data loaders for MPII, LSP, FLIC, and MSCOCO datasets. It includes pretrained models such as the stacked hourglass network and supports multi-GPU training and result visualization.

Use cases

• estimate human body keypoints from images
• train a pose estimation model on MPII or COCO
• evaluate a stacked hourglass network on pose benchmarks
• run pose estimation with pretrained models
• augment pose datasets for training
• visualize keypoint predictions during training

When to choose

• you need a ready-made PyTorch pipeline for 2D human pose estimation on standard benchmarks
• you want pretrained hourglass models for quick experimentation
• you need multi-GPU training with data augmentation for pose datasets

When to avoid

• you need 3D pose estimation or multi-person pose estimation
• you require modern PyTorch versions or Python 3 support, which are untested
• you need an actively maintained production library - the last release was 2021

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning python pose-estimation human-pose keypoint-detection hourglass-network pytorch mpii mscoco research-code linux gpu

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markdown · JSON · MCP: product_card(name="bearpaw/pytorch-pose")