Skip to content

Koldim2001/YOLO-Patch-Based-Inference

View on GitHub ↗Related repositories →

Python library for YOLOv8 and YOLOv9 small object detection and instance segmentation

active 2024-03-142026-05-18 (UTC)

Complete coverage26,342 / 26,342 hourly files (100%) · 2 absent upstream2023-08-152026-08-16 (UTC)
Events
861
Pushes
137
Pull requests
14
Issues
45
Stars
482
Forks
29

Activity over time

Daily event counts in the loaded window

Line chart, 796 days from 2024-03-14 to 2026-05-18. Pushes: 137 total, peak 12 in a day. Pull requests: 14 total, peak 2 in a day. Issues: 45 total, peak 3 in a day. Comments: 96 total, peak 12 in a day. Stars: 482 total, peak 14 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
Koldim2001219131861
Jordan-Pierce11015
BelickNicko9630
mohammdkaraca5003
Saanidhyavats5004
vchaparro5002
curtis184013
hanbangzou4002
TheMattBin3001
Marvin14123001
zhYao073002
idra79haza3001
LudovicoYIN3001
AlanjinWHU3001
v1ns0n03002
ZYJIQVV2001
ClemSc2001
kaspervn2011
Alisoltan822002
poriop1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#36Koldim20012026-02-07 21:59
    COCO-format noisy-label benchmarks for instance segmentation (VIPER-N / COCO-N)
  • Issue comment#34Koldim20012025-02-19 12:37
    yolo pose
  • Issue comment#34vchaparro2025-02-19 10:37
    yolo pose
  • Issue#34vchaparro2025-02-19 10:37
    yolo pose
  • Issue comment#34Koldim20012025-02-19 09:57
    yolo pose
  • Issue#34vchaparro2025-02-19 09:31
    yolo pose
  • Issue#28Koldim20012025-02-10 10:16
    how to use this with a datasets?
  • Issue#24Koldim20012025-02-09 09:31
    Is there way to support yolo-obb model?
  • Issue comment#24Koldim20012025-02-09 09:31
    Is there way to support yolo-obb model?
  • Issue comment#32Jordan-Pierce2025-01-28 19:53
    Feature Request: Thoughts on CustomModel template class?
  • Issue#32Jordan-Pierce2025-01-28 19:53
    Feature Request: Thoughts on CustomModel template class?
  • Issue comment#33Koldim20012025-01-24 16:30
    Feature Request: Optionally allow residuals for cropping / detection
  • Issue comment#33Jordan-Pierce2025-01-24 16:28
    Feature Request: Optionally allow residuals for cropping / detection
  • Issue#33Jordan-Pierce2025-01-24 16:28
    Feature Request: Optionally allow residuals for cropping / detection
  • Issue comment#33Koldim20012025-01-24 16:24
    Feature Request: Optionally allow residuals for cropping / detection
  • Issue#33Jordan-Pierce2025-01-24 15:48
    Feature Request: Optionally allow residuals for cropping / detection
  • Issue comment#32Jordan-Pierce2025-01-20 15:19
    Feature Request: Thoughts on CustomModel template class?
  • Issue comment#32Koldim20012025-01-20 11:05
    Feature Request: Thoughts on CustomModel template class?
  • Issue#30Jordan-Pierce2025-01-13 18:18
    Feature Request: Callback function for progress patching / predicting
  • Issue#29Koldim20012025-01-10 10:43
    Number of crops in the batch when batch_inference True
  • Issue comment#30Koldim20012025-01-10 08:56
    Feature Request: Callback function for progress patching / predicting
  • ReleaseKoldim20012025-01-10 08:55
    Python library 1.3.8 version
  • Pull request#31Koldim20012025-01-10 07:07
  • Issue comment#28Koldim20012025-01-10 06:40
    how to use this with a datasets?
  • Issue comment#28Jordan-Pierce2025-01-10 02:21
    how to use this with a datasets?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 482 stars here means stars gained during the window, not the repo's star count.