High_Boost_Filtering NullCipherr · COMPLETED
This repository contains Python implementations of the High Boost Filtering method, an image processing technique used to enhance high-frequency features in an image, resulting in a sharper and more detailed image.
github.com/NullCipherr/High_Boost_Filtering · ★ 5 · Forks 0 · Size 1.5 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 11
Skips 0
COVERAGE
Analyzed 38 files · 6 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
8 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
12 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
6 files · PRODUCTION, TEST
pytest TESTING Depth 37
1 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2023-11-20
Last commit 2026-04-08
Active months 2
Commits 6