RT-DETR for pytorch
active 2024-09-28 → 2026-02-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 499 days from 2024-09-28 to 2026-02-08. Pushes: 17 total, peak 4 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 8 total, peak 2 in a day. Comments: 10 total, peak 3 in a day. Stars: 21 total, peak 1 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 |
|---|---|---|---|---|
| int11 | 26 | 17 | 1 | 5 |
| anshifengdeng0612 | 5 | 0 | 0 | 4 |
| ajinkya-kulkarni | 2 | 0 | 0 | 1 |
| GLaStu | 1 | 0 | 0 | 0 |
| 474694657 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#7int112026-02-08 05:52
- Issue#64746946572025-10-24 03:12test question
- Issue#4int112025-08-22 10:32RT-DETRv3
- Issue#5hebeiwsl2025-07-18 13:54作者你好，如果使用自己的数据集进行训练（非COCO数据集）需要进行哪些设置？
- Issue#3int112025-06-03 17:31Training for num_classes=2?
- Issue#4GLaStu2025-06-03 05:38RT-DETRv3
- Issue#2int112025-01-29 21:40Regarding the issue of slow training speed when training the PyTorch version of RT-DETR with the DOTA dataset.
- Issue comment#3int112025-01-29 21:30Training for num_classes=2?
- Issue comment#3ajinkya-kulkarni2025-01-29 21:21Training for num_classes=2?
- Issue comment#3int112025-01-29 21:19Training for num_classes=2?
- Issue#3ajinkya-kulkarni2025-01-29 21:05Training for num_classes=2?
- Issue comment#2anshifengdeng06122024-12-24 13:50Regarding the issue of slow training speed when training the PyTorch version of RT-DETR with the DOTA dataset.
- Issue comment#2int112024-12-24 01:06Regarding the issue of slow training speed when training the PyTorch version of RT-DETR with the DOTA dataset.
- Issue comment#2anshifengdeng06122024-12-23 01:16Regarding the issue of slow training speed when training the PyTorch version of RT-DETR with the DOTA dataset.
- Issue comment#2int112024-12-22 20:53Regarding the issue of slow training speed when training the PyTorch version of RT-DETR with the DOTA dataset.
- Issue comment#2int112024-12-22 20:29Regarding the issue of slow training speed when training the PyTorch version of RT-DETR with the DOTA dataset.
- Issue comment#2anshifengdeng06122024-12-20 10:04关于使用DOTA数据集训练pytorch版RT-DETR训练速度慢的问题
- Issue comment#2anshifengdeng06122024-12-20 10:01关于使用DOTA数据集训练pytorch版RT-DETR训练速度慢的问题
- Issue#2anshifengdeng06122024-12-20 10:00关于使用DOTA数据集训练pytorch版RT-DETR训练速度慢的问题
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 21 stars here means stars gained during the window, not the repo's star count.