This project analyzes off-road (gravel) cycling terrain using video/photo and GPS data By classifying surface types (gravel, dirt, asphalt) from ride footage, it maps conditions to specific locations. The system provides post-ride insights to help cyclists choose the best tires for grip and performance based on real riding conditions.
active 2025-02-05 → 2025-02-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-02-05 to 2025-02-05. Pushes: 1 total, peak 1 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| lukasmenzel95 | 1 | 1 | 0 | 0 |
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.