tiger <- image_read_svg('http://jeroen.github.io/images/tiger.svg', width = 350)
print(tiger)
## format width height colorspace matte filesize density
## 1 PNG 350 350 sRGB TRUE 0 72x72
# Render svg to png bitmap
image_write(tiger, path = "tiger.png", format = "png")
# Converting formats
tiger_png <- image_convert(tiger, "png")
image_info(tiger_png)
## format width height colorspace matte filesize density
## 1 PNG 350 350 sRGB TRUE 0 72x72
tiger
#########################################################
# Example image
frink <- image_read("https://jeroen.github.io/images/frink.png")
print(frink)
## format width height colorspace matte filesize density
## 1 PNG 220 445 sRGB TRUE 73494 72x72
# Add 20px left/right and 10px top/bottom
image_border(image_background(frink, "hotpink"), "#000080", "20x10")
# Trim margins
image_trim(frink)
# Passport pica
image_crop(frink, "100x150+50")
# Resize
image_scale(frink, "300") # width: 300px
image_scale(frink, "x300") # height: 300px
# Rotate or mirror
image_rotate(frink, 45)
image_flip(frink)
image_flop(frink)
# Brightness, Saturation, Hue
image_modulate(frink, brightness = 80, saturation = 120, hue = 90)
# Paint the shirt orange
image_fill(frink, "orange", point = "+100+200", fuzz = 20)
# Add randomness
image_blur(frink, 10, 5)
image_noise(frink)
# Silly filters
image_charcoal(frink)
image_oilpaint(frink)
image_negate(frink)
# Kernel convolution
kern <- matrix(0, ncol = 3, nrow = 3)
kern[1, 2] <- 0.25
kern[2, c(1, 3)] <- 0.25
kern[3, 2] <- 0.25
kern
## [,1] [,2] [,3]
## [1,] 0.00 0.25 0.00
## [2,] 0.25 0.00 0.25
## [3,] 0.00 0.25 0.00
img <- image_resize(logo, "300x300")
img_blurred <- image_convolve(img, kern)
image_append(c(img, img_blurred))
img %>% image_convolve('Sobel') %>% image_negate()
img %>% image_convolve('DoG:0,0,2') %>% image_negate()
#########################################################
# Add some text
image_annotate(frink, "I like R!", size = 70, gravity = "southwest", color = "green")
# Customize text
image_annotate(frink, "CONFIDENTIAL", size = 30, color = "red", boxcolor = "pink",
degrees = 60, location = "+50+100")
# Fonts may require ImageMagick has fontconfig
image_annotate(frink, "The quick brown fox", font = 'Times', size = 30)
# Combining with pipes
frink <- image_read("https://jeroen.github.io/images/frink.png")
frink2 <- image_scale(frink, "100")
image_info(frink)
## format width height colorspace matte filesize density
## 1 PNG 220 445 sRGB TRUE 73494 72x72
image_info(frink2)
## format width height colorspace matte filesize density
## 1 PNG 100 202 sRGB TRUE 0 72x72
test <- image_rotate(frink, 90)
test <- image_background(test, "blue", flatten = TRUE)
test <- image_border(test, "red", "10x10")
test <- image_annotate(test, "This is how we combine transformations", color = "white", size = 30)
print(test)
## format width height colorspace matte filesize density
## 1 PNG 465 240 sRGB TRUE 0 72x72
image_read("https://jeroen.github.io/images/frink.png") %>%
image_rotate(270) %>%
image_background("blue", flatten = TRUE) %>%
image_border("red", "10x10") %>%
image_annotate("The same thing with pipes", color = "white", size = 30)
# Download earth gif and make it a bit smaller for vignette
earth <- image_read("https://jeroen.github.io/images/earth.gif") %>%
image_scale("200x") %>%
image_quantize(128)
length(earth)
## [1] 44
earth
head(image_info(earth))
## format width height colorspace matte filesize density
## 1 GIF 200 200 RGB FALSE 0 72x72
## 2 GIF 200 200 RGB FALSE 0 72x72
## 3 GIF 200 200 RGB FALSE 0 72x72
## 4 GIF 200 200 RGB FALSE 0 72x72
## 5 GIF 200 200 RGB FALSE 0 72x72
## 6 GIF 200 200 RGB FALSE 0 72x72
rev(earth) %>%
image_flip() %>%
image_annotate("meanwhile in Australia", size = 20, color = "white")
# Layers
bigdata <- image_read('https://jeroen.github.io/images/bigdata.jpg')
frink <- image_read("https://jeroen.github.io/images/frink.png")
logo <- image_read("https://jeroen.github.io/images/Rlogo.png")
img <- c(bigdata, logo, frink)
img <- image_scale(img, "300x300")
image_info(img)
## format width height colorspace matte filesize density
## 1 JPEG 300 225 sRGB FALSE 0 72x72
## 2 PNG 300 232 sRGB TRUE 0 72x72
## 3 PNG 148 300 sRGB TRUE 0 72x72
image_mosaic(img)
image_flatten(img)
image_flatten(img, 'Add')
image_flatten(img, 'Modulate')
image_flatten(img, 'Minus')
# Combining
image_append(image_scale(img, "x200"))
image_append(image_scale(img, "100"), stack = TRUE)
bigdatafrink <- image_scale(image_rotate(image_background(frink, "none"), 300), "x200")
image_composite(image_scale(bigdata, "x400"), bigdatafrink, offset = "+180+100")
# Animation
image_animate(image_scale(img, "200x200"), fps = 1, dispose = "previous")
newlogo <- image_scale(image_read("https://jeroen.github.io/images/Rlogo.png"))
oldlogo <- image_scale(image_read("https://jeroen.github.io/images/Rlogo-old.png"))
image_resize(c(oldlogo, newlogo), '200x150!') %>%
image_background('white') %>%
image_morph() %>%
image_animate(optimize = TRUE)
# Foreground image
banana <- image_read("https://jeroen.github.io/images/banana.gif")
banana <- image_scale(banana, "150")
image_info(banana)
## format width height colorspace matte filesize density
## 1 GIF 150 148 sRGB TRUE 0 72x72
## 2 GIF 150 148 sRGB TRUE 0 72x72
## 3 GIF 150 148 sRGB TRUE 0 72x72
## 4 GIF 150 148 sRGB TRUE 0 72x72
## 5 GIF 150 148 sRGB TRUE 0 72x72
## 6 GIF 150 148 sRGB TRUE 0 72x72
## 7 GIF 150 148 sRGB TRUE 0 72x72
## 8 GIF 150 148 sRGB TRUE 0 72x72
# Background image
background <- image_background(image_scale(logo, "200"), "white", flatten = TRUE)
# Combine and flatten frames
frames <- image_composite(background, banana, offset = "+70+30")
# Turn frames into animation
animation <- image_animate(frames, fps = 10, optimize = TRUE)
print(animation)
## format width height colorspace matte filesize density
## 1 gif 200 155 sRGB TRUE 0 72x72
## 2 gif 94 105 sRGB TRUE 0 72x72
## 3 gif 125 122 sRGB TRUE 0 72x72
## 4 gif 108 118 sRGB TRUE 0 72x72
## 5 gif 108 105 sRGB TRUE 0 72x72
## 6 gif 92 105 sRGB TRUE 0 72x72
## 7 gif 113 123 sRGB TRUE 0 72x72
## 8 gif 119 118 sRGB TRUE 0 72x72
# Animations can be saved as GIF of MPEG files:
image_write(animation, "Rlogo-banana.gif")
# Graphics device
# install.packages("ggplot2")
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.0.3
# Drawing and Graphics
# Produce image using graphics device
fig <- image_graph(width = 400, height = 400, res = 96)
ggplot2::qplot(mpg, wt, data = mtcars, colour = cyl)
dev.off()
## png
## 2
# Combine
out <- image_composite(fig, frink, offset = "+70+30")
print(out)
## # A tibble: 1 x 7
## format width height colorspace matte filesize density
## <chr> <int> <int> <chr> <lgl> <int> <chr>
## 1 PNG 400 400 sRGB TRUE 0 96x96
# Or paint over an existing image
img <- image_draw(frink)
rect(20, 20, 200, 100, border = "red", lty = "dashed", lwd = 5)
abline(h = 300, col = 'blue', lwd = '10', lty = "dotted")
text(30, 250, "Hoiven-Glaven", family = "monospace", cex = 4, srt = 90)
palette(rainbow(11, end = 0.9))
symbols(rep(200, 11), seq(0, 400, 40), circles = runif(11, 5, 35),
bg = 1:11, inches = FALSE, add = TRUE)
dev.off()
## png
## 2
# Animated Graphics
# install.packages("gapminder")
# install.packages("ggplot2")
library(gapminder)
## Warning: package 'gapminder' was built under R version 4.0.3
library(ggplot2)
img <- image_graph(600, 340, res = 96)
datalist <- split(gapminder, gapminder$year)
out <- lapply(datalist, function(data){
p <- ggplot(data, aes(gdpPercap, lifeExp, size = pop, color = continent)) +
scale_size("population", limits = range(gapminder$pop)) + geom_point() + ylim(20, 90) +
scale_x_log10(limits = range(gapminder$gdpPercap)) + ggtitle(data$year) + theme_classic()
print(p)
})
dev.off()
## png
## 2
animation <- image_animate(img, fps = 2, optimize = TRUE)
print(animation)
## # A tibble: 12 x 7
## format width height colorspace matte filesize density
## <chr> <int> <int> <chr> <lgl> <int> <chr>
## 1 gif 600 340 sRGB TRUE 0 96x96
## 2 gif 385 243 sRGB TRUE 0 96x96
## 3 gif 395 237 sRGB TRUE 0 96x96
## 4 gif 374 232 sRGB TRUE 0 96x96
## 5 gif 393 225 sRGB TRUE 0 96x96
## 6 gif 373 234 sRGB TRUE 0 96x96
## 7 gif 354 234 sRGB TRUE 0 96x96
## 8 gif 308 210 sRGB TRUE 0 96x96
## 9 gif 320 260 sRGB TRUE 0 96x96
## 10 gif 331 218 sRGB TRUE 0 96x96
## 11 gif 356 208 sRGB TRUE 0 96x96
## 12 gif 347 208 sRGB TRUE 0 96x96
image_write(animation, "gapminder.gif")
# Raster Images
plot(as.raster(frink))
# Print over another graphic
plot(cars)
rasterImage(frink, 21, 0, 25, 80)
# The grid package
library(grid)
qplot(speed, dist, data = cars, geom = c("point", "smooth"))
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
grid.raster(frink)
# OCR text extraction
# install.packages("tesseract")
img <- image_read("http://jeroen.github.io/images/testocr.png")
print(img)
## # A tibble: 1 x 7
## format width height colorspace matte filesize density
## <chr> <int> <int> <chr> <lgl> <int> <chr>
## 1 PNG 640 480 sRGB TRUE 23359 72x72
# Extract text
cat(image_ocr(img))
## This is a lot of 12 point text to test the
## ocr code and see if it works on all types
## of file format.
##
## The quick brown dog jumped over the
## lazy fox. The quick brown dog jumped
## over the lazy fox. The quick brown dog
## jumped over the lazy fox. The quick
## brown dog jumped over the lazy fox.