https://github.com/thomas-bouvier/palette-extractor

Extract the dominant color or a representative color palette from an image
https://github.com/thomas-bouvier/palette-extractor

color color-palette image-processing palette vibrant

Last synced: 10 months ago
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Extract the dominant color or a representative color palette from an image

• Host: GitHub
• URL: https://github.com/thomas-bouvier/palette-extractor
• Owner: thomas-bouvier
• License: gpl-3.0
• Created: 2018-05-27T17:12:03.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-07-22T18:23:35.000Z (almost 8 years ago)
• Last Synced: 2025-08-23T08:39:33.213Z (10 months ago)
• Topics: color, color-palette, image-processing, palette, vibrant
• Language: Go
• Homepage:
• Size: 395 KB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
palette-extractor

=================

[![Go Report Card](https://goreportcard.com/badge/github.com/thomas-bouvier/palette-extractor)](https://goreportcard.com/report/thomas-bouvier/palette-extractor)

[![GoDoc](https://godoc.org/github.com/thomas-bouvier/palette-extractor?status.svg)](https://godoc.org/github.com/thomas-bouvier/palette-extractor)

This program extracts the dominant color or a representative color palette from an image.

## Usage

Here's a simple example, where we build a 5 color palette:

```go

package main

import (

	"fmt"

	"github.com/thomas-bouvier/palette-extractor"

)

func main() {

	// Creating the extractor object

	extractor := extractor.NewExtractor("image.png", 10)

	// Displaying the top 5 dominant colors of the image

	fmt.Println(extractor.GetPalette(5))

}

```

You can find [the complete documentation](https://godoc.org/github.com/thomas-bouvier/palette-extractor) on GoDoc.

## Example

The following image has been used for this example:

![Example](image.png)

The program will give the following output when used with the image above:

```

[[234 231 230] [208 24 44] [59 41 37] [158 149 145] [145 126 114]]

```

## Thanks

Many thanks to [Lokesh Dhakar](https://github.com/lokesh) for [his original work](https://github.com/lokesh/color-thief/) and [Shipeng Feng](https://github.com/fengsp) for [his implementation](https://github.com/fengsp/color-thief-py).