This IPython notebook contains the content of a workshop on Image Processing with OpenCV
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Updated
Nov 21, 2019 - Jupyter Notebook
This IPython notebook contains the content of a workshop on Image Processing with OpenCV
convert between RGB color values and other common color models
Extraction of a score of red and blue dices from a given image.
Simple 2D Graphics Library from scratch in C
Image processing with Matlab libraries
Colors Makers component using Color Models
📱Digital image processing is the use 📸of a digital computer to process digital images🖼 through an algorithm.🖥 As a subcategory or field🗃 of digital signal processing,💻 digital image 🗓processing has many advantages over analog image processing🖨
🎨🍭 An iOS utility framework for working with colors.
🖍 Yet another color converter tool - HEX, RGB, HSL, HWB, HSV, CMYK, LAB, feColorMatrix
Extra color models for Go
A modern lightweight library for color manipulation and conversion.
Color Thief Palette Generator
GLSL color conversions, metrics, and other helpful functions
🎨🧰 A versatile collection of color tools for designers and developers encapsulated in one web app - shades, tints, tones, harmonies, contrast, color blindness, gradients, and more!
Color model for film characterization.
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.
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