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Hi there, first thanks for your efforts converting this into a dataset. I have the book and its really beautiful, but as you mention in the Readme, it's hard to stay true to the CMYK printed colors when converting to screen. For example, "Corinthian Pink" (C:0 / M:35 / Y:15 / K:0) gets converted into #FFA6D9, but if you enter the same CMYK values into Photoshop, you get something closer to #F8B5BA depending on your color profile settings.
See the comparison, the palette on the left is how it looks in Photoshop, and on the right is your conversion. If you compare with the physical book itself, the left color is a much closer match.
It would be nice to have these converted to RGB in a more perceptual way. Instead of entering each into Photoshop (pretty tedious), you could run it through my Python script here:
Hi there, first thanks for your efforts converting this into a dataset. I have the book and its really beautiful, but as you mention in the Readme, it's hard to stay true to the CMYK printed colors when converting to screen. For example, "Corinthian Pink" (C:0 / M:35 / Y:15 / K:0) gets converted into #FFA6D9, but if you enter the same CMYK values into Photoshop, you get something closer to #F8B5BA depending on your color profile settings.
See the comparison, the palette on the left is how it looks in Photoshop, and on the right is your conversion. If you compare with the physical book itself, the left color is a much closer match.
It would be nice to have these converted to RGB in a more perceptual way. Instead of entering each into Photoshop (pretty tedious), you could run it through my Python script here:
https://gist.github.com/mattdesl/3f6c7e9acad68927b18c749e2e91c857
In this example I'm using the following settings (you can export these from Photoshop's Color Settings dialog).
RGB – "sRGB IEC61966-2.1.icc"
CMYK Profile – "U.S. Web Coated (SWOP) v2.icc"
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