MoonScanner-Adaptive-Ellipse-Regression-for-Crater-Mapping mayhammad277 · COMPLETED
Deep learning-based lunar topography analysis. This project implements a precise ellipse-regression model calibrated to high-resolution satellite imagery, utilizing adaptive scaling to accurately map craters of all sizes while preventing geometric overlaps.
github.com/mayhammad277/MoonScanner-Adaptive-Ellipse-Regression-for-Crater-Mapping · ★ 1 · Forks 0 · Size 5.6 MB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 8
Skips 0
COVERAGE
Analyzed 80 files · 12 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
72 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 70
56 files · PRODUCTION, TEST
pandas LIBRARY Depth 70
36 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-04-12
Last commit 2026-05-03
Active months 2
Commits 12