CalciferZh/minimal-body

A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.

35
/ 100
Emerging

This tool helps researchers and computer vision practitioners analyze human body posture and movement from single images. You provide an image of a person, and it outputs a set of 2D and 3D keypoints representing their body joints. This is useful for anyone working with human pose estimation in various applications.

No commits in the last 6 months.

Use this if you need to quickly and efficiently estimate human body keypoints in both 2D and 3D from a single, cropped portrait image.

Not ideal if you require training code, high-accuracy estimations from uncropped or complex scenes, or detailed mesh reconstruction rather than just keypoints.

human-pose-estimation computer-vision motion-capture gait-analysis activity-recognition
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 11 / 25

How are scores calculated?

Stars

58

Forks

6

Language

Python

License

MIT

Last pushed

Nov 20, 2021

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/CalciferZh/minimal-body"

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