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Project code for the course Advance Deep Learning for Computer Vision: Visual Computing

active 2023-08-192025-07-30 (UTC)

Complete coverage26,426 / 26,426 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
115
Pushes
2
Pull requests
0
Issues
24
Stars
58
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 712 days from 2023-08-19 to 2025-07-30. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 24 total, peak 8 in a day. Comments: 23 total, peak 5 in a day. Stars: 58 total, peak 6 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
ryf112320208
xiaoyu200108086005
FangjinhuaWang6005
05063112lcs4002
Shubhendu-Jena4001
RenieWell3001
Fanqyu2000
wtishere1001
prstrive1000
13460528511000
mohit-choithwani1000

Recent activity

Latest issues, pull requests and releases

  • Issue#17ryf11232025-03-26 13:39
    Approximate training time
  • Issue#19ryf11232024-11-18 10:00
    Quantitative results
  • Issue comment#19xiaoyu200108082024-10-22 06:11
    Quantitative results
  • Issue comment#19xiaoyu200108082024-10-22 03:49
    Quantitative results
  • Issue comment#19ryf11232024-10-21 19:58
    Quantitative results
  • Issue comment#19xiaoyu200108082024-10-21 13:29
    Quantitative results
  • Issue comment#19xiaoyu200108082024-07-21 06:49
    Quantitative results
  • Issue comment#1905063112lcs2024-07-19 09:39
    Quantitative results
  • Issue comment#19xiaoyu200108082024-07-19 09:31
    Quantitative results
  • Issue#20xiaoyu200108082024-07-19 05:59
    TypeError: relu(): argument 'input' (position 1) must be Tensor, not float
  • Issue#1905063112lcs2024-05-07 02:47
    Quantitative results
  • Releaseryf11232024-04-30 15:35
    zenodo release
  • Issue comment#1805063112lcs2024-04-27 06:21
    loss=nan
  • Issue comment#18ryf11232024-04-26 09:00
    loss=nan
  • Issue#1805063112lcs2024-04-22 09:01
    loss=nan
  • Issue comment#17ryf11232024-04-13 11:52
    Approximate training time
  • Issue#17Shubhendu-Jena2024-03-07 00:04
    Approximate training time
  • Issue#16mohit-choithwani2024-02-19 19:35
    Issue with tsdf_fusion.sh on custom data
  • Issue#12ryf11232024-01-03 15:34
    Is there a little mistake on confusing SRDF and SDF in Appendix 7 of the paper?
  • Issue comment#12ryf11232024-01-03 15:34
    Is there a little mistake on confusing SRDF and SDF in Appendix 7 of the paper?
  • Issue comment#7ryf11232024-01-03 15:27
    camera coordinate in data preprocessing (dtu_train.py)
  • Issue#7ryf11232024-01-03 15:27
    camera coordinate in data preprocessing (dtu_train.py)
  • Issue#9ryf11232024-01-03 15:23
    how calculate camera parameter ?
  • Issue comment#7ryf11232024-01-03 15:23
    camera coordinate in data preprocessing (dtu_train.py)
  • Issue#13ryf11232024-01-03 15:12
    Question about the quantitative evaluation results on DTU dataset

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 58 stars here means stars gained during the window, not the repo's star count.