Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
active 2023-08-16 → 2026-03-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 944 days from 2023-08-16 to 2026-03-16. Pushes: 0 total, peak 0 in a day. Pull requests: 6 total, peak 2 in a day. Issues: 39 total, peak 3 in a day. Comments: 70 total, peak 6 in a day. Stars: 231 total, peak 3 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 |
|---|---|---|---|---|
| zhangzhongyuan1996 | 9 | 0 | 0 | 9 |
| zhouning1027 | 7 | 0 | 0 | 2 |
| JokeQ666 | 6 | 0 | 0 | 4 |
| anhuidinglieqiaodaima | 5 | 0 | 0 | 2 |
| Albertchamberlain | 5 | 0 | 0 | 2 |
| DaDaDalong | 5 | 0 | 0 | 0 |
| awslhh8 | 5 | 0 | 0 | 3 |
| northeastsquare | 3 | 0 | 0 | 3 |
| wonsub-yun | 3 | 0 | 0 | 1 |
| thptai | 3 | 0 | 2 | 1 |
| newcer | 2 | 0 | 2 | 0 |
| gabaebae123 | 2 | 0 | 0 | 2 |
| refresh-te | 2 | 0 | 0 | 2 |
| GilberteBing | 2 | 0 | 0 | 0 |
| VietPT3502 | 2 | 0 | 0 | 2 |
| zlin-monarch | 2 | 0 | 2 | 0 |
| huzkun | 2 | 0 | 0 | 2 |
| josh-wende | 2 | 0 | 0 | 1 |
| toughhhh | 2 | 0 | 0 | 2 |
| upupbo | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#161wlp12132025-05-03 07:43LLAMAS train
- Issue comment#160wlp12132025-05-02 06:00如何选择出最优的模型？
- Issue#160zhouning10272025-04-23 04:03如何选择出最优的模型？
- Issue comment#149zhouning10272025-04-23 04:00复现效果不好，大家的f1都是多少？
- Issue#159wei0422025-04-17 14:48CLRNetV2 开源计划
- Issue comment#124JokeQ6662025-01-15 09:27What is height and width of resized data?
- Issue comment#129JokeQ6662025-01-15 09:25自定义数据集的如何设置cut_height参数
- Issue comment#129JokeQ6662025-01-15 09:25自定义数据集的如何设置cut_height参数
- Issue#158JokeQ6662025-01-12 08:43有没有哥们用在vil100数据集上？
- Issue comment#102refresh-te2024-12-27 09:22why culane's num_classes is 4+1?do i need to modify the parameter when train on custom dataset?
- Issue comment#72refresh-te2024-12-27 09:16Training CLRNet with custom dataset in Tulane format, get cuda device-side assert error
- Issue comment#79luguanrui19972024-12-23 06:29out of index error when testing with CULane dataset
- Issue comment#154iamDead1ock2024-12-19 14:38必须要在linux跑吗
- Issue comment#122gabaebae1232024-12-19 11:17你好请问我的是什么问题？Hello, what is my problem?
- Issue#157fourmin2024-12-03 03:54Train & Inference
- Issue comment#133huzkun2024-11-18 06:41How long dose the training phase take?
- Issue comment#153huzkun2024-11-17 12:36TuSimple最新下载的格式和示例的格式不一样怎么办呢？
- Issue#1566057894142024-11-14 02:27有没大佬解释一下，如何理解L-IOU
- Issue#155zhouning10272024-11-13 07:59网络最终的输出是以哪个head的输出作为最终生成车道线的呢？
- Issue#154JokeQ6662024-11-06 05:52必须要在linux跑吗
- Issue comment#153JokeQ6662024-11-06 05:34TuSimple最新下载的格式和示例的格式不一样怎么办呢？
- Issue comment#11zhouning10272024-11-05 12:35Error in training with Tusimple
- Issue#153zhouning10272024-11-05 12:30TuSimple最新下载的格式和示例的格式不一样怎么办呢？
- Issue comment#105wl6546559022024-10-14 09:08about the inference results?(have picture)
- Issue comment#150gabaebae1232024-10-11 08:36是否可以实现多分类，识别虚线和实线
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 231 stars here means stars gained during the window, not the repo's star count.