我想知道是否可以从包含团队运动 Logo 的图像文件中提取主要的十六进制颜色。我有以下 Logo 向量:
dput(team.logos[1:5))
c("https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/399.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/2066.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/42.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/311.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/160.png")
使用以下网站 ( https://html-color-codes.info/colors-from-image/ ) - 我可以看到第一张图像 (UAlbany) 中的十六进制颜色值是 #FEBE10
表示黄色,#3F1E6B
紫色,以及白色。
我的问题是 - 有什么方法可以为 R 中的向量中的每个图像抓取这些十六进制值(这样我就不必手动加载每个图像并单击以查找每个十六进制值)。
谢谢!
最佳答案
使用成像器包的另一个选项...
require('imager')
require('data.table')
team.logos <- c("https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/399.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/2066.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/42.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/311.png",
"https://a.espncdn.com/combiner/i?img=/i/teamlogos/ncaa/500/160.png")
#this function takes an image in imager's cimg format and
#returns the hex colour codes for any colours covering more than
#a threshold proportion of pixels (default is set to 0.05)
getHexPrimaries <- function(img, pcnt.threshold = 0.05){
#convert cimg to workable format
channel.labels <- c('R','G','B','A')[1:dim(img)[4]]
img <- as.data.table(as.data.frame(img))
img[,channel := factor(cc ,labels=channel.labels)]
img <- dcast(img, x+y ~ channel, value.var = "value")
#sort by unique rgb combinations and identify the primary colours
colours.sorted <- img[, .N, by=list(R,G,B)][order(-N)]
colours.sorted[ , primary := N/sum(N) > pcnt.threshold]
#convert to hex
hex.primaries <-
apply(colours.sorted[primary==TRUE], 1, function(row){
hex <- rgb(row[1], row[2], row[3], maxColorValue=1)
hex
})
hex.primaries
}
hex.list <- lapply(team.logos, function(logo.url) {
download.file(logo.url,'temp.png', mode = 'wb')
img <- load.image('temp.png')
getHexPrimaries(img)
})
关于r - 从 R 中的图像中提取前 2-3 个十六进制颜色,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/54412166/