Image augmentation for machine learning experiments.
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Updated
Apr 6, 2024 - Python
Image augmentation for machine learning experiments.
Imaging is a simple image processing package for Go
Intelligent adaptive brightness for your external monitors
Generate colors based on a desired contrast ratio
Сustom color schemes for all websites
Contrast Enhancement Techniques for low-light images
The Colour Contrast Analyser (CCA) helps you determine the legibility of text and the contrast of visual elements, such as graphical controls and visual indicators.
APCA (Accessible Perceptual Contrast Algorithm) is a new method for predicting contrast for use in emerging web standards (WCAG 3) for determining readability contrast. APCA is derived form the SAPC (S-LUV Advanced Predictive Color) which is an accessibility-oriented color appearance model designed for self-illuminated displays.
Check the compliance of your design guidelines within seconds
A tool to create accessible color systems
GUI for ImageMagick and Wand
Collection of basic image processing algorithms for processing
The APCA version, to be licensed for use with guidelines: W3/AGWG.
Effects created for ReShade
Create high contrast version of your project with ease.
A universal Node/browser library for manipulating images, built on canvas.
Add a description, image, and links to the contrast topic page so that developers can more easily learn about it.
To associate your repository with the contrast topic, visit your repo's landing page and select "manage topics."