Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
active 2023-10-17 → 2026-03-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 883 days from 2023-10-17 to 2026-03-17. Pushes: 4 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 19 total, peak 3 in a day. Comments: 43 total, peak 5 in a day. Stars: 62 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 |
|---|---|---|---|---|
| bxiang233 | 26 | 4 | 0 | 20 |
| kasparas-k | 5 | 0 | 0 | 3 |
| CiSong10 | 4 | 0 | 0 | 1 |
| liangwenge740 | 4 | 0 | 0 | 3 |
| zqalex | 3 | 0 | 0 | 2 |
| aaaaasleep | 3 | 0 | 0 | 2 |
| alexis- | 2 | 0 | 0 | 2 |
| asdwcx | 2 | 0 | 0 | 2 |
| WS517 | 2 | 0 | 0 | 0 |
| Jack-Dong-Dong | 2 | 0 | 0 | 2 |
| JiaxingEl99 | 2 | 0 | 0 | 1 |
| Fantast1cqj | 2 | 0 | 0 | 1 |
| luogkr | 1 | 0 | 0 | 1 |
| Mr-Sue | 1 | 0 | 0 | 0 |
| Mercury829 | 1 | 0 | 0 | 0 |
| WangLuo01 | 1 | 0 | 0 | 1 |
| Aerian222 | 1 | 0 | 0 | 0 |
| carrapatofa | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#23Mercury8292025-08-30 11:50About using the NPM3D dataset to run eval.py
- Issue comment#22bxiang2332025-07-21 20:52about custom datase
- Issue comment#22lmyuxian1162025-07-21 07:18about custom datase
- Issue#22lmyuxian1162025-07-19 09:49about custom datase
- Issue#21CiSong102025-05-21 20:18ImportError with `torch_sparse` using Example 1 Environment Set Up
- Issue comment#20CiSong102025-05-21 14:52Docker GPU Not Available
- Issue#20CiSong102025-05-21 14:52Docker GPU Not Available
- Issue comment#19bxiang2332025-05-21 07:52about evaluation_stats_NPM3D.py
- Issue comment#20bxiang2332025-05-21 07:46Docker GPU Not Available
- Issue#20CiSong102025-05-21 02:36Docker GPU Not Available
- Issue#19Fantast1cqj2025-04-28 09:17about evaluation_stats_NPM3D.py
- Issue comment#18bxiang2332025-04-15 10:05Error while running the eval.py with docker
- Issue comment#7Fantast1cqj2025-03-11 03:50When trained to the 31st epoch using the FORinstance dataset, got stuck and could not continue.
- Issue comment#17bxiang2332025-01-30 10:54broken download link for pre-trained model
- Issue#17carrapatofa2025-01-29 10:55broken download link for pre-trained model
- Issue comment#14bxiang2332025-01-07 09:38error
- Issue comment#15bxiang2332025-01-07 09:36how to train my own dataset?
- Issue comment#9Jack-Dong-Dong2024-12-24 03:34for instance dataset after 31 epochs of training
- Issue comment#9Jack-Dong-Dong2024-12-24 03:34for instance dataset after 31 epochs of training
- Issue comment#1alexis-2024-12-18 22:14Information about forest dataset?
- Issue comment#1alexis-2024-12-18 22:07Information about forest dataset?
- Issue comment#16bxiang2332024-11-04 13:52How to install torch-points3d==0.2.0?(We find that you use the torch-points3d==0.2.0)
- Issue#16Aerian2222024-11-04 13:23How to install torch-points3d==0.2.0?(We find that you use the torch-points3d==0.2.0)
- Issue comment#12JiaxingEl992024-09-17 16:18'omegaconf.errors.ConfigAttributeError: Missing key forest_regions' when trying to evaluate on the provided FOR-instance dataset using eval.py
- Issue#15WS5172024-09-11 08:55how to train my own dataset?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.