# tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation

Repository: https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation
Canonical: https://ross.abutalabs.com/products/pytorch_realtime_multi-person_pose_estimation
Language: Python
License Family: other
Last push: 2023-02-07T01:46:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3445, "days_push": 1304, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1371, forks 405 (observed 2026-08-28T04:04:32.005688+00:00)

## What it is
A PyTorch implementation of the CVPR'17 Realtime Multi-Person 2D Pose Estimation (OpenPose/rtpose) model. It provides pretrained weights, demo scripts for images and webcam, and training/evaluation code on the COCO keypoints dataset.

## Use cases
- detect human body keypoints in images
- estimate poses of multiple people in real time from a webcam
- train a multi-person pose estimation model on COCO
- evaluate pose estimation mAP on COCO val2017
- port the original Caffe OpenPose model to PyTorch

## When to choose
- you need multi-person 2D skeleton/keypoint detection in PyTorch
- you want a realtime pose estimation pipeline with pretrained rtpose weights
- you need reproducible training and evaluation on COCO keypoints

## When to avoid
- you need 3D pose estimation or single-person-only models
- you need actively maintained code with a clear license
- you work without NVIDIA GPUs or on non-Linux platforms

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing, deep-learning
- domain: computer-vision, machine-learning, deep-learning
- platform: python
- tags: pose-estimation, pytorch, multi-person, openpose, coco, keypoints, human-pose, linux, gpu

## Member repositories
- tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:32.005688+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:40:51.665127+00:00, confidence not recorded.
  - readme: https://github.com/tensorboy/pytorch_Realtime_Multi-Person_Pose_Estimation (fetched 2026-08-28T04:04:32.005688+00:00, sha 113709094e94)
- Data as of 2026-08-30T08:39:29.467469+00:00.