This project demonstrates a real-time human posture detection system using TensorFlow's MoveNet SinglePose Thunder model. The system captures live video feed, performs pose estimation to detect keypoints of the human body, and classifies the posture into predefined categories such as Standing, Sitting, or Squatting.
active 2025-01-24 → 2025-01-24 (UTC)
Activity over time
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Line chart, 1 days from 2025-01-24 to 2025-01-24. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Riddhi554 | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.