An emotion detector using OpenCV analyzes facial expressions by detecting faces, recognizing landmarks, and classifying features into emotions with machine learning. This real-time system finds applications in human-computer interaction, sentiment analysis, and user experience enhancement, adapting interfaces based on users' emotional states
active 2024-01-31 → 2024-03-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 47 days from 2024-01-31 to 2024-03-17. Pushes: 3 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.
- 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 |
|---|---|---|---|---|
| thompson005 | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.