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Repo for segmentation network learning through views of aerial images during the traversal of a path planner through an environment. Allows the network to learn from its mistakes by corrections from its output and taking in the corrected environment information from the UpdateEnvironment() step as mentioned in URD*.

active 2023-10-19 → 2023-10-26 (UTC)

Complete coverage28,428 / 28,428 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-11 (UTC)
Events
7
Pushes
5
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 8 days from 2023-10-19 to 2023-10-26. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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
cam12715500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.