OpenPose
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Overview
HEALTH SCORE
Critical*
Partial score (2/3 categories)
15out of 65
Development cadence is the primary crisis signal. Maintainer coverage shows little to offset it. Every health signal is at or near zero. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Critical*(15/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 16 days.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 159 organizations.
Project Achievements
Leaderboards
About
OpenPose is a real-time multi-person keypoint detection system for body, face, hands, and foot estimation. It is the first open-source real-time system for multi-person 2D pose detection, including body, face, hands, and foot estimation.
First commit
Software value
$1.9M
Tags
caffe
computer-vision
cpp
cvpr-2017
deep-learning
face
foot-estimation
hand-estimation
human-behavior-understanding
human-pose
human-pose-estimation
keypoint-detection
keypoints
machine-learning
multi-person
opencv
openpose
pose
pose-estimation
real-time
License(s)
Other
Data sources
Git
GitHub