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explainingai-code/FasterRCNN-PyTorch

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This repo implements simple Faster RCNN model in PyTorch with all the essential components.

active 2024-10-302026-04-14 (UTC)

Partial coverage13,275 / 15,775 hourly files (84%) · 2 absent upstream · 2,494 failed, retryable2024-10-232026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
27
Pushes
0
Pull requests
0
Issues
4
Stars
16
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 532 days from 2024-10-30 to 2026-04-14. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 16 total, peak 1 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
BehalDavid1000
Saikrishna-6661000
sadman-ruet1000
explainingai-code1001
DINHQuangDung19991000

Recent activity

Latest issues, pull requests and releases

  • Issue#7BehalDavid2025-08-01 07:13
    Mask RCNN
  • Issue#6Saikrishna-6662025-03-15 08:55
    i am getting low map when using resnet101 as backbone instead of vgg16, can you help?
  • Issue#5sadman-ruet2025-02-25 02:41
    Hey I want to Resume the training from last checkpoint. How can i do this?
  • Issue comment#4explainingai-code2025-01-30 03:53
    What changes I need to make to actually set the training process over multiple batches?
  • Issue#2DINHQuangDung19992024-11-02 15:03
    Low mAP when training on aerial images

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 16 stars here means stars gained during the window, not the repo's star count.