8.20 azcv color schemes

The output consists of a boolean to indicate if it is not a black and white image, the accent (most vibrant) colour, the dominant background and foreground, and then a list of dominant colors. In the examples below we include the accent colour beside the original image.

$ ml color azcv https://docs.microsoft.com/en-us/azure/cognitive-services/Computer-vision/images/mountain_vista.png
True,BB6D10,Black,Black,Black White

$ ml color azcv https://docs.microsoft.com/en-us/azure/cognitive-services/Computer-vision/images/flower.png
True,C6A205,Black,White,Black White Green 

$ ml color azcv https://docs.microsoft.com/en-us/azure/cognitive-services/Computer-vision/images/bw_buildings.png
False,282828,White,Grey,Grey White 

$ ml color axcv https://docs.microsoft.com/en-us/azure/cognitive-services/Computer-vision/images/house_yard.png

Your donation will support ongoing development and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2021 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0.