PyQt 기반의 데스크탑 애플리케이션으로, YOLO 데이터셋 자동 라벨링과 임베딩 추출을 지원합니다. 사전 학습된 객체 검출 모델을 활용해 빠르고 손쉽게 이미지에 라벨을 생성하고, GUI를 통해 라벨을 직관적으로 수정할 수 있으며, 다양한 컴퓨터 비전 작업에 활용할 수 있는 임베딩까지 추출할 수 있습니다.
active 2025-06-09 → 2025-06-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2025-06-09 to 2025-06-12. Pushes: 22 total, peak 9 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
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ohsopp | 24 | 22 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#2ohsopp2025-06-12 08:45
- Pull request#1ohsopp2025-06-12 02:37
- Releaseohsopp2025-06-12 02:371.0.2
- Releaseohsopp2025-06-11 07:271.0.0
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.