Gursehaj

Image Pallete Generator

Professional project
Python code solution and explanation
colorthief, matplotlib, RGB, HEX

introduction

An image palette generator is a tool that can analyze an image and extract its dominant colors to create a color palette. This palette can then be used for website design, graphic design, and other visual arts, to create a consistent and appealing color scheme based on a specific image.

The program we’re going to make today will extract the most dominant colors in an image, show what these colors look like, and print out the RGB and HEX values. So why use a paid service or website to access this, when you can just code it yourself, in Python? Let’s get started!

SOLUTION

First, let’s import the libraries required for this project. colorthief is a simple python module to grab the color palette of an image. matplotlib is a plotting library for visualizations. 

from colorthief import ColorThief
import matplotlib.pyplot as plt

First, I used an image I created in paint, called default.jpg.

default.jpg

To get the most dominant color, we can use ct.get_color(quality). This will get the most dominant color in an image. quality will be 1, and any higher will possibly result in a worse image. 

ct = ColorThief('default.jpg')

# dominant color
dominant_color = ct.get_color(quality=1)
Output:
(139, 4, 20)

Now let’s show the image using plt.imshow([[dominant_color]]). Inside needed will be an array-like value. 

plt.imshow([[dominant_color]])
plt.show()
Output

We got the most dominant color, but how can we generate a palette? I’m going to use another image, forest.jpg.

forest.jpg

We can use the ct.get_palette(color_count) method and set that to palette. Inside, we can set color_count to how many colors we want generated. Then, we can use list comprehension to display each color in palette. 

palette = ct.get_palette(color_count=5)
plt.imshow([[palette[i] for i in range(5)]])
plt.show()

Finally, we can print the RGB and HEX values of each color in palette by running a loop. To convert to HEX, we have to convert each value in the RGB by using color[n]:02x. 

for color in palette:
    print(f"RGB: {color}  |  HEX: #{color[0]:02x}{color[1]:02x}{color[2]:02x}")
Output:
RGB: (43, 45, 55)  |  HEX: #2b2d37
RGB: (206, 110, 90)  |  HEX: #ce6e5a
RGB: (108, 140, 152)  |  HEX: #6c8c98
RGB: (140, 164, 180)  |  HEX: #8ca4b4
final code

To view my full code, please visit my GitHub repository:
https://github.com/Gursehaj-Singh/image-palette-generator

from colorthief import ColorThief
import matplotlib.pyplot as plt

ct = ColorThief('forest.jpg')

# dominant color
dominant_color = ct.get_color(quality=1)
plt.imshow([[dominant_color]])
plt.show()

# color palette
palette = ct.get_palette(color_count=4)
plt.imshow([[palette[i] for i in range(4)]])
plt.show()

# print palette
for color in palette:
    print(f"RGB: {color}  |  HEX: #{color[0]:02x}{color[1]:02x}{color[2]:02x}")
Further Steps

Now that we’ve created a simple image color palette generator, we can make something more user-friendly interface. For example, adding GUI, allowing the user to navigate and upload their image, and defining how many colors they need.

Hope you enjoyed my program.

Gursehaj

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