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[ECCV 2024] This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.

active 2024-08-192026-04-03 (UTC)

Partial coverage14,413 / 17,431 hourly files (83%) · 2 absent upstream · 3,017 failed, retryable2024-08-152026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
93
Pushes
7
Pull requests
0
Issues
12
Stars
43
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 593 days from 2024-08-19 to 2026-04-03. Pushes: 7 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 3 in a day. Comments: 25 total, peak 5 in a day. Stars: 43 total, peak 2 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
fishmarch267013
rolyeMMlin4004
ketherr3002
mmpx0432001
Eragon4042002
yutong-yang-mb2002
GSCWW1001
Jezer-Zhang1000
yuzhobotianzhiyu1000
dynamic7211000
DenzelRavage1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#23Eragon4042025-11-28 07:49
    关于decoder外的reg head问题
  • Issue#22DenzelRavage2025-09-02 09:18
    diff between 'projects/configs/mapqr/mapqr_nusc_r50_24ep.py' and 'projects/configs/mapqr/mapqr_nusc_r50_24ep_new.py'
  • Issue comment#21mmpx0432025-07-26 09:27
    thresholds {0.2, 0.5, 1.0}
  • Issue#21mmpx0432025-07-26 09:25
    Dear author, I would like to test mAP under the thresholds {0.2, 0.5, 1.0}. Could you please let me know where I can modify this setting to train and evaluate my own model?
  • Issue comment#7yutong-yang-mb2025-06-12 07:35
    question about av2 2d
  • Issue comment#7fishmarch2025-06-09 12:21
    question about av2 2d
  • Issue comment#20fishmarch2025-06-05 02:01
    Are there any other configuration files
  • Issue comment#7yutong-yang-mb2025-05-25 13:40
    question about av2 2d
  • Issue comment#15fishmarch2025-05-21 02:09
    Model infer lanes visualizaiton messy
  • Issue#17fishmarch2025-05-20 03:01
    gen_sineembed_for_position
  • Issue comment#19fishmarch2025-05-20 02:56
    I can't reproduce the result with current code and pretrain model
  • Issue#19fishmarch2025-05-20 02:56
    I can't reproduce the result with current code and pretrain model
  • Issue comment#19Eragon4042025-05-20 02:52
    I can't reproduce the result with current code and pretrain model
  • Issue comment#19fishmarch2025-05-16 02:57
    I can't reproduce the result with current code and pretrain model
  • Issue#18Jezer-Zhang2025-04-18 08:00
    package incompatible probelem
  • Issue comment#17fishmarch2025-01-24 06:54
    gen_sineembed_for_position
  • Issue comment#17rolyeMMlin2025-01-24 06:34
    gen_sineembed_for_position
  • Issue comment#17rolyeMMlin2025-01-24 06:32
    gen_sineembed_for_position
  • Issue comment#17fishmarch2025-01-24 06:26
    gen_sineembed_for_position
  • Issue comment#17rolyeMMlin2025-01-24 06:04
    gen_sineembed_for_position
  • Issue comment#17fishmarch2025-01-22 05:48
    gen_sineembed_for_position
  • Issue comment#17rolyeMMlin2025-01-22 03:48
    gen_sineembed_for_position
  • Issue comment#17fishmarch2025-01-22 02:07
    gen_sineembed_for_position
  • Issue#16yuzhobotianzhiyu2025-01-09 07:21
    where is the code of scatter and gather
  • Issue comment#15ketherr2024-12-29 07:17
    Model infer lanes visualizaiton messy

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 43 stars here means stars gained during the window, not the repo's star count.