mango314 / colores Goto Github PK
View Code? Open in Web Editor NEWextract color pallets from you favorite images
Home Page: http://107.170.41.146/color-clustering-in-python-2/
extract color pallets from you favorite images
Home Page: http://107.170.41.146/color-clustering-in-python-2/
If we upload the entire photograph get memory error. Optimize so reasonable photographs (up to 6MB) can be processed quickly.
How can we have this read an image and return the X number most common colors found?
By adding plt.savefig('filename-fig.jpg')
at the end of colores.py
I was able to export this file by running $ python colores.py
I imagine someone would use this as a package, which seems way more useful:
from colores import Colores
colores = Colores('filename.jpg')
list_of_hex_values = colores.extract_colors(max=5)
colores.save_figure('filename-fig.jpg') # Save a figure from pyplot.
Just thought we should document how to get up and running on Mac OS X. After setting up my virtualenv I had to install via pip the following:
I also had to run brew install gcc
to get some fortran requirements installed for one of the above requirements.
Wouldn't it be great to return color-quantized versions of the original photograph. Be just like a paint-by-numbers :-)
Something that can be installed using pip
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