FootballVision brentonbluehouse · COMPLETED
A project that utilizes deep learning and computer vision for cost-effective football match analysis. By applying YOLO for object detection and auto-homography for field mapping.
github.com/brentonbluehouse/FootballVision · ★ 0 · Forks 0 · Size 143.9 MB
SUMMARY
Technologies 5
Scored 5
Observed 5
Practices 6
Evidence 5
Skips 0
COVERAGE
Analyzed 1041 files · 8 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
16 files · PRODUCTION
NumPy LIBRARY Depth 85
6 files · PRODUCTION
pandas LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-12-06
Last commit 2024-12-07
Active months 1
Commits 8