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Pytorch Implementation of LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification

active 2025-04-142026-06-13 (UTC)

Complete coverage26,603 / 26,603 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
110
Pushes
25
Pull requests
0
Issues
12
Stars
45
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 426 days from 2025-04-14 to 2026-06-13. Pushes: 25 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 1 in a day. Comments: 22 total, peak 5 in a day. Stars: 45 total, peak 9 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
OBJECT907241108
XLearning-SCU131300
yangmingbj8008
Lastwish-13001
RunQing7152001
NickyyChen2002
myoh971000
ZYK231000
Ui-Seok1000
OBJECT-907X1001
Lin-Yijie1100
Xiaoseymy1001
caixukun12341000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#7OBJECT-907X2026-06-13 01:53
    关于评估的问题
  • Issue comment#7Xiaoseymy2025-12-04 08:31
    关于评估的问题
  • Issue#5OBJECT9072025-11-20 07:40
    Hi, thanks for your great work! I wonder if the model weights have been publicly released? I'd like to test the model performance directly without retraining— is that possible?
  • Issue#10Ui-Seok2025-09-08 04:11
    Training results do not fully reproduce reported performance
  • Issue#9OBJECT9072025-08-26 01:38
    关于传统的三个行人检索数据集上的测试阶段问题
  • Issue comment#9OBJECT9072025-08-25 09:09
    关于传统的三个行人检索数据集上的测试阶段问题
  • Issue comment#9RunQing7152025-08-25 07:05
    关于传统的三个行人检索数据集上的测试阶段问题
  • Issue comment#7yangmingbj2025-08-24 14:49
    关于评估的问题
  • Issue comment#9yangmingbj2025-08-24 14:28
    关于传统的三个行人检索数据集上的测试阶段问题
  • Issue#9RunQing7152025-08-23 05:06
    关于传统的三个行人检索数据集上的测试阶段问题
  • Issue comment#7OBJECT9072025-08-21 06:55
    关于评估的问题
  • Issue comment#7yangmingbj2025-08-21 06:50
    关于评估的问题
  • Issue comment#7yangmingbj2025-08-20 02:04
    关于评估的问题
  • Issue comment#7yangmingbj2025-08-20 01:51
    关于评估的问题
  • Issue comment#7yangmingbj2025-08-20 01:44
    关于评估的问题
  • Issue comment#7yangmingbj2025-08-20 01:43
    关于评估的问题
  • Issue comment#7yangmingbj2025-08-20 01:24
    关于评估的问题
  • Issue#4OBJECT9072025-07-10 08:13
    Question for dataset.
  • Issue comment#6NickyyChen2025-07-10 08:10
    Questions Regarding the Implementation and Integration of the LLAVA-ReID Framework
  • Issue comment#6OBJECT9072025-07-10 01:48
    Questions Regarding the Implementation and Integration of the LLAVA-ReID Framework
  • Issue comment#4NickyyChen2025-07-10 01:43
    Question for dataset.
  • Issue comment#5OBJECT9072025-07-10 01:34
    Hi, thanks for your great work! I wonder if the model weights have been publicly released? I'd like to test the model performance directly without retraining— is that possible?
  • Issue comment#4OBJECT9072025-07-10 01:33
    Question for dataset.
  • Issue#5caixukun12342025-07-08 06:45
    Hi, thanks for your great work! I wonder if the model weights have been publicly released? I'd like to test the model performance directly without retraining— is that possible?
  • Issue#2OBJECT9072025-07-05 08:12
    Schedule for code release

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 45 stars here means stars gained during the window, not the repo's star count.