Palette is a Python package for extracting colors from images and displaying the results as palettes and in text form of color percentages, RGB, HEX values and names.
A merge function is used to reduce the amount of colors listed in the output by calculating the distance (difference) between two RGB values and comparing it to the provided sensitivity / tolerance value. The names of the colors are being fetched by the Color Names API.
This package requires you to have Python version >= 3.6 installed. Either use your OS's package manager or follow the instructions here. Then, clone or download this repository, change into the folder and execute the command below.
$ pip install .
A list of Color objects sorted by their percentages can be created by calling the extract_colors_from_path function and passing an image file path or calling the extract_colors_from_image and passing an already loaded image.
>>> from palette import extract_colors_from_path
>>> colors = extract_colors_from_path(my_image_path, my_limit, my_sensitivity)["colors"]
>>> print(colors)
[(rgb: (19, 14, 20), hex: #130e14, percentage: 71.70, name: Back In Black), (rgb: (42, 32, 30), hex: #2a201e, percentage: 11.40, name: Dark Orchestra), (rgb: (68, 50, 38), hex: #443226, percentage: 6.37, name: Woodburn)]>>> from palette import extract_colors_from_image
>>> colors = extract_colors_from_image(my_image, my_limit, my_sensitivity)["colors"]
>>> print(colors)
[(rgb: (19, 14, 20), hex: #130e14, percentage: 71.70, name: Back In Black), (rgb: (42, 32, 30), hex: #2a201e, percentage: 11.40, name: Dark Orchestra), (rgb: (68, 50, 38), hex: #443226, percentage: 6.37, name: Woodburn)]Extracted colors can also be listed using the command-line.
usage: palette [-h] [-l L] [-s S] [-p P] path
palette is a tool for extracting colors from an image
positional arguments:
path path to image file
optional arguments:
-h, --help show this help message and exit
-l L maximum number of colors to extract (default: 10)
-s S color merging sensitivity on a scale of 0 to 100 for clearer results (default: 30)
-p P create a color palette (default: True)
$ palette example.jpg -l 10 -s 60
Image: example.jpg
Maximum number of colors: 10
Color sensitivity: 60
Create palette: True
Extracting...
Color extraction completed at: 05:58 PM, 10/29/2022
Palette created as example-palette.png
1. 75.94% : RGB (19, 14, 20) , HEX #130e14, Name Back In Black
2. 15.48% : RGB (68, 50, 38) , HEX #443226, Name Woodburn
3. 8.53% : RGB (150, 102, 54) , HEX #966636, Name Woodgrain
4. 4.85% : RGB (186, 137, 97) , HEX #ba8961, Name Tatami Tan
5. 4.52% : RGB (60, 76, 101) , HEX #3c4c65, Name Silent Sea
6. 3.80% : RGB (112, 125, 116), HEX #707d74, Name Boreal
7. 3.54% : RGB (211, 172, 141), HEX #d3ac8d, Name Cliff Brown
8. 2.66% : RGB (70, 90, 161) , HEX #465aa1, Name Nuthatch Back
9. 2.22% : RGB (129, 35, 27) , HEX #81231b, Name Falu Red
10. 2.02% : RGB (239, 212, 193), HEX #efd4c1, Name Cream of Mushroom