michalfaber/tensorflow_Realtime_Multi-Person_Pose_Estimation

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

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Emerging

This project helps you analyze human movement in images and videos, even when multiple people are present. You provide an image or video, and it outputs an annotated version showing the detected body poses of each person. This is ideal for researchers, sports analysts, or anyone needing to track human posture and activity in visual media.

219 stars. No commits in the last 6 months.

Use this if you need to quickly and accurately identify the body keypoints and posture of multiple individuals within an image or video.

Not ideal if you're looking for a simple, pre-packaged application that doesn't require any command-line interaction or model training.

human-pose-estimation sports-analytics behavior-analysis motion-capture computer-vision
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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219

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63

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Jupyter Notebook

License

Last pushed

Nov 21, 2022

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