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Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"

active 2023-10-172026-03-17 (UTC)

Complete coverage26,467 / 26,467 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
138
Pushes
4
Pull requests
0
Issues
19
Stars
62
Forks
10

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

ContributorContributionsPushesPRsComments
bxiang233264020
kasparas-k5003
CiSong104001
liangwenge7404003
zqalex3002
aaaaasleep3002
alexis-2002
asdwcx2002
WS5172000
Jack-Dong-Dong2002
JiaxingEl992001
Fantast1cqj2001
luogkr1001
Mr-Sue1000
Mercury8291000
WangLuo011001
Aerian2221000
carrapatofa1000

Recent activity

Latest issues, pull requests and releases

  • Issue#23Mercury8292025-08-30 11:50
    About using the NPM3D dataset to run eval.py
  • Issue comment#22bxiang2332025-07-21 20:52
    about custom datase
  • Issue comment#22lmyuxian1162025-07-21 07:18
    about custom datase
  • Issue#22lmyuxian1162025-07-19 09:49
    about custom datase
  • Issue#21CiSong102025-05-21 20:18
    ImportError with `torch_sparse` using Example 1 Environment Set Up
  • Issue comment#20CiSong102025-05-21 14:52
    Docker GPU Not Available
  • Issue#20CiSong102025-05-21 14:52
    Docker GPU Not Available
  • Issue comment#19bxiang2332025-05-21 07:52
    about evaluation_stats_NPM3D.py
  • Issue comment#20bxiang2332025-05-21 07:46
    Docker GPU Not Available
  • Issue#20CiSong102025-05-21 02:36
    Docker GPU Not Available
  • Issue#19Fantast1cqj2025-04-28 09:17
    about evaluation_stats_NPM3D.py
  • Issue comment#18bxiang2332025-04-15 10:05
    Error while running the eval.py with docker
  • Issue comment#7Fantast1cqj2025-03-11 03:50
    When trained to the 31st epoch using the FORinstance dataset, got stuck and could not continue.
  • Issue comment#17bxiang2332025-01-30 10:54
    broken download link for pre-trained model
  • Issue#17carrapatofa2025-01-29 10:55
    broken download link for pre-trained model
  • Issue comment#14bxiang2332025-01-07 09:38
    error
  • Issue comment#15bxiang2332025-01-07 09:36
    how to train my own dataset?
  • Issue comment#9Jack-Dong-Dong2024-12-24 03:34
    for instance dataset after 31 epochs of training
  • Issue comment#9Jack-Dong-Dong2024-12-24 03:34
    for instance dataset after 31 epochs of training
  • Issue comment#1alexis-2024-12-18 22:14
    Information about forest dataset?
  • Issue comment#1alexis-2024-12-18 22:07
    Information about forest dataset?
  • Issue comment#16bxiang2332024-11-04 13:52
    How to install torch-points3d==0.2.0?(We find that you use the torch-points3d==0.2.0)
  • Issue#16Aerian2222024-11-04 13:23
    How 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 08:55
    how 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.