이 프로젝트는 MMA Facial Expression 데이터셋을 사용하여 감정을 인식하는 딥러닝 모델을 개발하고, 이를 Android 앱에 통합하여 실시간으로 감정을 분석하는 기능을 구현한다. MobileNetV2 아키텍처를 기반으로 한 모델 학습 과정과 Android Studio를 사용한 앱 개발 과정이 이루어진다. 이를 통해 자폐아동의 표정을 구분하고 (행복, 슬픔, 화남, 혐오, 놀람) 피드백 메세지를 통해 적절한 학�
active 2024-02-23 → 2024-02-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 6 days from 2024-02-23 to 2024-02-28. Pushes: 11 total, peak 6 in a day. Pull requests: 1 total, peak 1 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 |
|---|---|---|---|---|
| YunNa000 | 12 | 11 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#2YunNa0002024-02-28 01:36
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.