A fall detection system utilizing MMAction2, VideoMAE V2, and UniFormer V2 to analyze real-world video datasets. The project explores the impact of clip lengths and frame rates on model performance, with optimized training configurations for enhanced accuracy and efficiency. Designed for practical applications in video-based fall detection.
active 2024-11-11 → 2025-01-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 76 days from 2024-11-11 to 2025-01-25. Pushes: 3 total, peak 1 in a day. Pull requests: 2 total, peak 2 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.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| tegrahn | 3 | 2 | 1 | 0 |
| gitsouderos | 1 | 1 | 0 | 0 |
| bakalianosm | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
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.