SwinDock-Vision-Based-Satellite-Docking-Identification mayhammad277 · COMPLETED
A real-time computer vision pipeline utilizing Swin Transformers and NaViT for identifying satellite docking surfaces. Features a PyQt5/Tkinter GUI for live inference, automated fine-tuning scripts, and high-performance image classification.
github.com/mayhammad277/SwinDock-Vision-Based-Satellite-Docking-Identification · ★ 1 · Forks 0 · Size 7.4 MB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 12 files · 9 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
6 files · PRODUCTION
NumPy LIBRARY Depth 58
2 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-04-15
Last commit 2026-04-28
Active months 1
Commits 9