Project for the Computer Vision Course
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Updated
Jun 26, 2021 - Jupyter Notebook
Project for the Computer Vision Course
It remains the premier instrument for anyone engaged with visuals, whether you are modifying, creating designs, or performing some fine-detail correction.
Lab №1. Statistical color correction
Continuous whitebalance utility
Master MVA - Digital Imaging project
🎨 Generate 3D LUTs from image pairs, ensuring accurate color mapping and smooth transitions, with support for multiple formats and GPU acceleration.
Colortool is a utility set for color space and conversions, with support for illuminants and white point adaptation
Perform color correction on images using the ColorCorrectionPackage. Upload images, detect color charts, run color correction, visualize and save results.
An Unity Polaroid LUT Profile/Volume Profile created for Serious Point Games
A tool to automate timelapse editing process
Koliba Library
Color grading library and sample applications
The ByakuganVisualizer repository hosts a Python tool designed to compare images and highlight their differences. It simplifies the process of identifying disparities between images, making it ideal for tasks like testing and quality assurance. Moreover, it offers a color filter that can be used to correct images for color-blind users.
WPF Managed Colors
Color correction for pics and vids using ML / Цветокоррекция изображений на основе статистических параметров
BASIC IMAGE ANALYSIS AND PROCESSING USING PYTHON (ANACONDA)
Add a description, image, and links to the color-correction topic page so that developers can more easily learn about it.
To associate your repository with the color-correction topic, visit your repo's landing page and select "manage topics."