coin-vision liorboord · PARTIAL
The coin-vision Project is a computer vision application designed to identify and extract one or more coins from images. It makes use of the YOLOv8 object detection model for initial identification and MobileNetV2 for coin classification.
github.com/liorboord/coin-vision · ★ 5 · Forks 4 · Size 55.9 MB
SUMMARY
Technologies 12
Scored 8
Observed 8
Practices 6
Evidence 14
Skips 4
COVERAGE
Analyzed 567 files · 15 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
15 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Jinja2 LIBRARY Depth —
0 files · config only
MarkupSafe LIBRARY Depth —
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NumPy LIBRARY Depth 62
2 files · PRODUCTION
Requests LIBRARY Depth 50
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Werkzeug LIBRARY Depth —
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pandas LIBRARY Depth 58
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typing_extensions LIBRARY Depth —
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PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-12-30
Last commit 2025-01-01
Active months 2
Commits 15