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From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

active 2023-08-162026-02-24 (UTC)

Complete coverage26,743 / 26,743 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
144
Pushes
1
Pull requests
1
Issues
9
Stars
96
Forks
16

Activity over time

Daily event counts in the loaded window

Line chart, 924 days from 2023-08-16 to 2026-02-24. Pushes: 1 total, peak 1 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 9 total, peak 2 in a day. Comments: 21 total, peak 3 in a day. Stars: 96 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

Recent activity

Latest issues, pull requests and releases

  • Issue comment#44starrismlx2025-06-23 05:36
    Download link for bts_eigen_v2_pytorch_densenet161.zip not working
  • Issue comment#150awildpoint2025-06-09 09:37
    ''wget https://cogaplex-bts.s3.ap-northeast-2.amazonaws.com/bts_nyu_v2_pytorch_densenet161.zip'' is not work
  • Issue comment#150taewookum2025-06-04 05:36
    ''wget https://cogaplex-bts.s3.ap-northeast-2.amazonaws.com/bts_nyu_v2_pytorch_densenet161.zip'' is not work
  • Issue comment#71ShenZheng20002025-04-10 04:44
    ChunkedEncodingError when training nyu dataset
  • Issue comment#79ShenZheng20002025-04-10 04:43
    Number of training samples from Drive different from that in paper
  • Issue comment#150William-Klay2025-03-08 01:03
    ''wget https://cogaplex-bts.s3.ap-northeast-2.amazonaws.com/bts_nyu_v2_pytorch_densenet161.zip'' is not work
  • Issue comment#150WreckItTim2025-02-11 04:42
    ''wget https://cogaplex-bts.s3.ap-northeast-2.amazonaws.com/bts_nyu_v2_pytorch_densenet161.zip'' is not work
  • Issue#150linjx04222025-01-15 01:12
    ''wget https://cogaplex-bts.s3.ap-northeast-2.amazonaws.com/bts_nyu_v2_pytorch_densenet161.zip'' is not work
  • Issue comment#75xuelimin2024-09-25 09:11
    TypeError: only integer scalar arrays can be converted to a scalar index
  • Issue comment#75Lost-little-dinosaur2024-09-25 09:10
    TypeError: only integer scalar arrays can be converted to a scalar index
  • Issue comment#120abdullah228422024-07-23 23:54
    ValueError: batch_size should be a positive integer value, but got batch_size=0
  • Pull request#73jiunbae2024-07-08 05:28
  • Issue comment#147frickyinn2024-06-22 01:47
    train loss nan in
  • Issue#149frickyinn2024-06-22 01:46
    How to avoid NaN in training
  • Issue comment#77SakuraShiinaMashiro2024-05-28 13:20
    About the reduction1x1 & LPG
  • Issue#96YoucanBaby2024-04-18 03:29
    Where can I find the focal length of the kitti dataset ?
  • Issue comment#96YoucanBaby2024-04-18 03:29
    Where can I find the focal length of the kitti dataset ?
  • Issue comment#1487yzx2024-03-13 07:38
    confused about gt in new nyu2dataset and old nyu2dataset
  • Issue#1487yzx2024-03-13 07:38
    confused about gt in new nyu2dataset and old nyu2dataset
  • Issue#1487yzx2024-03-13 02:49
    confused about new nyudataset and old 浓郁
  • Issue comment#1477yzx2024-02-28 04:47
    train loss nan in
  • Issue#1477yzx2024-02-28 04:42
    train loss nan in
  • Issue comment#145emjay732023-12-26 05:21
    wget nyu_depth_v2_labeled.mat: connection refused
  • Issue#145emjay732023-12-26 05:21
    wget nyu_depth_v2_labeled.mat: connection refused
  • Issue comment#145emjay732023-12-26 05:16
    wget nyu_depth_v2_labeled.mat: connection refused

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 96 stars here means stars gained during the window, not the repo's star count.