The goal of colormind is to assist in generating aesthetically
pleasing color scales using colormind.io palette
generator.
You can install the development version of colormind from
Github with:
remotes::install_github("dmi3kno/colormind")Colormind.io is a color scheme generator that uses deep learning. It can
learn color styles from photographs, movies, and popular art. Check
colormind.io for currently loaded color models
(sample palettes) or retrieve them directly into your R session with
get_colormind_models(). Color models get updated daily.
library(colormind)
## basic example code
mods <- get_colormind_models()
mods
#> [1] "ui" "default" "communist"
#> [4] "only_god_forgives" "water_color" "lego_movie"Here’s randomly generated palette using “default” color model.
colp <- get_colormind_colors()
#> Querying colormind with model: default
scales::show_col(colp, borders = NA)
You can also “seed” palette with your own colors. In order to do that, you need to pass a color vector (maximum length 5) with some values filled in. If you want something closer to diverging palette, you might want to try placing your suggested colors to opposite ends of a vector.
colp <- c("#006494", NA, NA, NA, "#dc493a")
scales::show_col(colp, borders = NA)
The missing values in your vector will be complemented by colormind.io using current color model.
colr <- get_colormind_colors(colp, "default")
#> Querying colormind with model: default
scales::show_col(colr, borders = NA)
Colors are randomized every time you hit an API, so you may try it several times, or try another color model.
library(purrr)
slow_get_colormind_colors <- slowly(get_colormind_colors, rate = rate_delay(3))
walk(mods, ~slow_get_colormind_colors(colp, model=.x) %>%
scales::show_col(borders = NA))
#> Querying colormind with model: ui
#> Querying colormind with model: default
#> Querying colormind with model: communist
#> Querying colormind with model: only_god_forgives
#> Querying colormind with model: water_color
#> Querying colormind with model: lego_movie
