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@djnavarro
Created October 30, 2018 01:42
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image of a brain constructed using the ASCII chars in an R command
library(tidyverse)
library(imager)
# function to convert an image to an ascii character map
asciify <- function(file, charset, threshold){
# load image
im <- load.image(file)
im <- as.cimg(im[,,1:3])
# function to compute the lightness of a character
greyval <- function(chr) {
implot(imfill(50,50,val=1), text(25,25,chr,cex=5)) %>%
grayscale %>%
mean
}
# compute lightness of all characters
g <- map_dbl(charset, greyval)
# sort and count
charset <- charset[order(g)]
n <- length(charset)
# convert the image to grayscale, resize, convert to data.frame,
# quantise image at the number of distinct characters
charmap <- grayscale(im) %>% # convert to greyscale
imresize(.3) %>% # resize the image (hack!)
as.data.frame %>% # convert to tibble
filter(value < threshold) %>% # threshold the image
mutate(
qv = cut_number(value, n) %>% as.integer, # discretise
char = charset[qv] # map to a character
)
return(charmap)
}
# msg <-
# 'complex_human_data %>%
# dplyr::filter(
# where = "Melbourne",
# when = "Dec 9-14, 2018"
# )'
msg <- "Complex Human Data Summer School
Melbourne, December 9-14, 2018"
# construct a character set using the workshop title
asc <- msg %>%
str_squish() %>%
str_split(pattern = "") %>%
first() %>%
unique()
# some parameters
charsize <- 6
threshold <- .6
imgwidth <- 1600
imgheight <- 1100
# filenames
input <- "./brain2.jpg"
output <- "./ascii-brain-chdss-b.png"
# construct ascii character map
charmap <- asciify(
file = input,
charset = asc,
threshold = threshold)
# draw the plot
pic <- charmap %>%
ggplot(aes(x, y)) +
geom_text(aes(label = char), size = charsize) +
scale_y_reverse() +
theme_void()
# add the annotation
pic <- pic +
annotate(geom = "text", label = msg,
x = 2, y = 7, size = 8, hjust = 0)
# draw the plot
plot(pic)
# write the image
dev.print(
device = png,
filename = output,
width = imgwidth,
height = imgheight
)
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ascii-brain-chdss

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