Image segementation can be done using various filters in Deep Learning. One of the filter is used here to extract the most dominant colors of the image
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Updated
Nov 20, 2022 - Python
Image segementation can be done using various filters in Deep Learning. One of the filter is used here to extract the most dominant colors of the image
Web app that helps you extract colour palette from an image.
color-extraction code by using colorgram.py
Facebook Bot that posts pictures and their most vibrant colors
.NET library to extract color palettes from images - based on SkiaSharp
알약 검출을 위한 주요 알고리즘을 개발하고 실험하는 레포지토리
A simple and efficient PHP function that allows you to quickly and easily determine the average color of an image.
Expose node-vibrant image analysis results via JSON API
A command-line tool for extracting dominant colors from an image.
Heterogeneous libraries integrator for image color extraction and naming
K-Means Clustering algorithm implementation to extract dominant palette colors in a picture and a new picture is formed, which is built from its predominant shading palettes. A picture contains high intensities of hues, these hues are grouped, and the generated pictures contains only extracted colors
A library that chooses the best colors from a picture.
K-Means Color extraction, Segmentation, Comparison
Compress every frame of a movie in a single color barcode. Transform entire movies into stunning single-barcode visualizations. Capture the essence of cinematic storytelling through dominant color extraction from each frame.
The Dominant Color Extractor is a simple Python application that allows you to extract the dominant color from an image file. It provides a user-friendly graphical interface built with CustomTkinter, making it easy for anyone to use.
This repo has a Jupyter Notebook for an e-commerce NLP and data manipulation technical test.
Extract colors from image assets in Craft CMS.
Contains deep learning projects
Web application that helps you extract dominant colors from an image.
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