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This project focuses on performing computer vision tasks, specifically image inference using the DINOv2 model, on a NVIDIA Jetson embedded device. A core feature of this project is the ability to precisely geotag captured images by synchronizing them with RTK (Real-Time Kinematic) GPS data.

active 2025-06-022026-07-07 (UTC)

Complete coverage26,742 / 26,742 hourly files (100%) · 2 absent upstream2023-08-152026-09-02 (UTC)
Events
53
Pushes
44
Pull requests
0
Issues
4
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 401 days from 2025-06-02 to 2026-07-07. Pushes: 44 total, peak 5 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: 0 total, peak 0 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
mosscoder403700
samsoe5401
nstam84300

Recent activity

Latest issues, pull requests and releases

  • Issue#4nstam82025-07-09 16:07
    AutoImageProcessor module from Transformers not supported on JetPack4
  • Issue#3mosscoder2025-07-02 17:18
    Test image acquisition and export with Go2's native camera
  • Issue comment#2samsoe2025-06-06 20:31
    Receiving Corrections with the Sparkfun RTK GPS
  • Issue#2mosscoder2025-06-06 15:39
    Receiving Corrections with the Sparkfun RTK GPS
  • Issue#1mosscoder2025-06-02 19:55
    Select IP67 Camera Sensor

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.