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A hybrid object detection framework that integrates frame difference methods with YOLOv8 to improve the detection of small, fast-moving objects like falling debris from high altitudes. This repository aims to explore and enhance the performance of motion-based object detection in dynamic video environments.

active 2024-12-09 → 2025-02-17 (UTC)

Complete coverage27,459 / 27,459 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-02 (UTC)
Events
48
Pushes
2
Pull requests
10
Issues
1
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 71 days from 2024-12-09 to 2025-02-17. Pushes: 2 total, peak 2 in a day. Pull requests: 10 total, peak 3 in a day. Issues: 1 total, peak 1 in a day. Comments: 19 total, peak 8 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
dependabot[bot]2901019
lostbefore2200
okideal1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.