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Framework to support stitching together multiple models to create effective Computer Vision systems, as accurate or fast as you need them to be.

active 2023-08-172025-06-18 (UTC)

Complete coverage26,661 / 26,661 hourly files (100%) · 2 absent upstream2023-08-152026-08-29 (UTC)
Events
293
Pushes
132
Pull requests
83
Issues
1
Stars
4
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 672 days from 2023-08-17 to 2025-06-18. Pushes: 132 total, peak 50 in a day. Pull requests: 83 total, peak 34 in a day. Issues: 1 total, peak 1 in a day. Comments: 4 total, peak 2 in a day. Stars: 4 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
GeorgePearse14659833
github-actions[bot]737300
Burhan-Q1001

Recent activity

Latest issues, pull requests and releases

  • Pull request#46GeorgePearse2025-06-18 20:26
  • Pull request#46GeorgePearse2025-06-18 20:16
  • Pull request#45GeorgePearse2023-10-13 15:36
  • Pull request#45GeorgePearse2023-10-13 15:36
  • Pull request#44GeorgePearse2023-10-13 15:36
  • Pull request#44GeorgePearse2023-10-13 15:36
  • Pull request#43GeorgePearse2023-09-07 15:03
  • Issue comment#36GeorgePearse2023-09-06 12:35
    Should models request downstream models, or just respond to the input predictions (or both)?
  • Issue comment#36GeorgePearse2023-09-06 12:33
    Should models request downstream models, or just respond to the input predictions (or both)?
  • Pull request#42GeorgePearse2023-09-05 12:04
  • Pull request#42GeorgePearse2023-09-05 12:04
  • Pull request#41GeorgePearse2023-09-05 12:04
  • Pull request#41GeorgePearse2023-09-05 11:40
  • Issue comment#1Burhan-Q2023-09-05 10:20
    Create image_handler.py
  • Pull request#40GeorgePearse2023-09-05 09:33
  • Pull request#40GeorgePearse2023-09-05 09:33
  • Pull request#39GeorgePearse2023-09-05 09:27
  • Pull request#39GeorgePearse2023-09-05 09:27
  • Pull request#38GeorgePearse2023-09-05 09:26
  • Pull request#38GeorgePearse2023-09-05 09:26
  • Pull request#37GeorgePearse2023-09-05 06:53
  • Issue comment#1GeorgePearse2023-09-05 06:51
    Create image_handler.py
  • Issue#36GeorgePearse2023-09-05 06:20
    Should models request downstream models, or just respond to the input predictions (or both)?
  • Pull request#35GeorgePearse2023-09-05 06:06
  • Pull request#35GeorgePearse2023-09-05 06:06

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.