Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch

Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.

685 138 +0/wk

GitHub

3d-human-pose cmu-panoptic computer-vision deep-learning human-pose-estimation keypoint-estimation lightweight multi-person-pose-estimation openvino pytorch real-time

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Star & Fork Trend (18 data points)

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GitHub

stars 685

forks 138

Growth Velocity

Daniil-Osokin/lightweight-human-pose-estimation-3d-demo.pytorch has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	lightweight-human-pose-estimation-3d-demo.pytorch	Awesome-Skeleton-based-Action-Recognition	reversi-alpha-zero	flexible-yolov5
Stars	685	685	685	685
Forks	138	119	167	118
Weekly Growth	+0	+0	+0	+0
Language	Python	HTML	Python	Python
Sources	1	1	1	1
License	Apache-2.0	N/A	MIT	GPL-3.0

Capability Radar vs Awesome-Skeleton-based-Action-Recognition

lightweight-human-pose-estimation-3d-demo.pytorch

Awesome-Skeleton-based-Action-Recognition

Maintenance Activity 0

Last code push 865 days ago.

Community Engagement 100

Fork-to-star ratio: 20.1%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.