robertklee/COCO-Human-Pose

Train a stacked hourglass deep neural network for human pose estimation on the COCO 2017 dataset.

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This tool helps analyze human movement by identifying key body points in images. You provide an image of a person, and it outputs the same image with a skeletal overlay marking 17 joints like elbows, knees, and wrists. It's designed for professionals in fields such as sports science, animation, or security who need to track single-person poses.

No commits in the last 6 months.

Use this if you need to precisely locate and track individual body joints on a single, centrally-positioned person within an image.

Not ideal if your images contain multiple people, as it will only process the person closest to the center, or if subjects are heavily obscured.

sports-analysis animation security-systems human-behavior-analysis motion-capture
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

49

Forks

13

Language

Python

License

MIT

Last pushed

May 10, 2024

Commits (30d)

0

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