Image augmentation for machine learning experiments.
-
Updated
Apr 6, 2024 - Python
Image augmentation for machine learning experiments.
Imaging is a simple image processing package for Go
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.
Generate colors based on a desired contrast ratio
Intelligent adaptive brightness for your external monitors
Opencv cheat sheet for C++
Effects created for ReShade
Сustom color schemes for all websites
AMD ROCm Performance Primitives (RPP) library is a comprehensive high-performance computer vision library for AMD processors with HIP/OpenCL/CPU back-ends.
Buttons to add/remove contrast and increase/decrease font size.
A tool to create accessible color systems
Collection of basic image processing algorithms for processing
Contrast-Finder finds correct color contrasts (background / foreground) for web accessibility (a11y, WCAG, RGAA). https://app.contrast-finder.org
The APCA version, to be licensed for use with guidelines: W3/AGWG.
GUI for ImageMagick and Wand
A universal Node/browser library for manipulating images, built on canvas.
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.
Contrast Design Bootstrap : Elegant UI Kit and reusable components for building mobile-first, responsive websites and web apps
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."