Operations to manipulate or combine multiple frames of an image. Details below.

image_animate(
  image,
  fps = 10,
  delay = NULL,
  loop = 0,
  dispose = c("background", "previous", "none"),
  optimize = FALSE
)

image_morph(image, frames = 8)

image_mosaic(image, operator = NULL)

image_montage(image)

image_flatten(image, operator = NULL)

image_average(image)

image_append(image, stack = FALSE)

image_apply(image, FUN, ...)

Arguments

image

magick image object returned by image_read() or image_graph()

fps

frames per second. Ignored if delay is not NULL.

delay

delay after each frame, in 1/100 seconds. Must be length 1, or number of frames. If specified, then fps is ignored.

loop

how many times to repeat the animation. Default is infinite.

dispose

a frame disposal method from dispose_types()

optimize

optimize the gif animation by storing only the differences between frames. Input images must be exactly the same size.

frames

number of frames to use in output animation

operator

string with a composite operator from compose_types()

stack

place images top-to-bottom (TRUE) or left-to-right (FALSE)

FUN

a function to be called on each frame in the image

...

additional parameters for FUN

Details

For details see Magick++ STL documentation. Short descriptions:

  • image_animate coalesces frames by playing the sequence and converting to gif format.

  • image_morph expands number of frames by interpolating intermediate frames to blend into each other when played as an animation.

  • image_mosaic inlays images to form a single coherent picture.

  • image_montage creates a composite image by combining frames.

  • image_flatten merges frames as layers into a single frame using a given operator.

  • image_average averages frames into single frame.

  • image_append stack images left-to-right (default) or top-to-bottom.

  • image_apply applies a function to each frame

The image_apply function calls an image function to each frame and joins results back into a single image. Because most operations are already vectorized this is often not needed. Note that FUN() should return an image. To apply other kinds of functions to image frames simply use lapply, vapply, etc.

See also

Examples

# Combine images logo <- image_read("https://jeroen.github.io/images/Rlogo.png") oldlogo <- image_read("https://jeroen.github.io/images/Rlogo-old.png") # Create morphing animation both <- image_scale(c(oldlogo, logo), "400") image_average(image_crop(both))
#> # A tibble: 1 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 PNG 400 304 sRGB TRUE 0 118x118
image_animate(image_morph(both, 10))
#> # A tibble: 12 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 gif 400 304 sRGB TRUE 0 118x118 #> 2 gif 400 304 sRGB TRUE 0 118x118 #> 3 gif 400 304 sRGB TRUE 0 118x118 #> 4 gif 400 304 sRGB TRUE 0 118x118 #> 5 gif 400 304 sRGB TRUE 0 118x118 #> 6 gif 400 304 sRGB TRUE 0 118x118 #> 7 gif 400 304 sRGB TRUE 0 118x118 #> 8 gif 400 304 sRGB TRUE 0 118x118 #> 9 gif 400 304 sRGB TRUE 0 118x118 #> 10 gif 400 304 sRGB TRUE 0 118x118 #> 11 gif 400 304 sRGB TRUE 0 118x118 #> 12 gif 400 304 sRGB TRUE 0 72x72
# Create thumbnails from GIF banana <- image_read("https://jeroen.github.io/images/banana.gif") length(banana)
#> [1] 8
image_average(banana)
#> # A tibble: 1 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 GIF 365 360 sRGB TRUE 0 72x72
image_flatten(banana)
#> # A tibble: 1 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 GIF 365 360 sRGB TRUE 0 72x72
image_append(banana)
#> # A tibble: 1 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 GIF 2920 360 sRGB TRUE 0 72x72
image_append(banana, stack = TRUE)
#> # A tibble: 1 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 GIF 365 2880 sRGB TRUE 0 72x72
# Append images together wizard <- image_read("wizard:") image_append(image_scale(c(image_append(banana[c(1,3)], stack = TRUE), wizard)))
#> # A tibble: 1 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 GIF 730 720 sRGB TRUE 0 72x72
image_composite(banana, image_scale(logo, "300"))
#> # A tibble: 8 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 GIF 365 360 sRGB TRUE 0 72x72 #> 2 GIF 365 360 sRGB TRUE 0 72x72 #> 3 GIF 365 360 sRGB TRUE 0 72x72 #> 4 GIF 365 360 sRGB TRUE 0 72x72 #> 5 GIF 365 360 sRGB TRUE 0 72x72 #> 6 GIF 365 360 sRGB TRUE 0 72x72 #> 7 GIF 365 360 sRGB TRUE 0 72x72 #> 8 GIF 365 360 sRGB TRUE 0 72x72
# Break down and combine frames front <- image_scale(banana, "300") background <- image_background(image_scale(logo, "400"), 'white') frames <- image_apply(front, function(x){image_composite(background, x, offset = "+70+30")}) image_animate(frames, fps = 10)
#> # A tibble: 8 x 7 #> format width height colorspace matte filesize density #> <chr> <int> <int> <chr> <lgl> <int> <chr> #> 1 gif 400 310 sRGB TRUE 0 72x72 #> 2 gif 400 310 sRGB TRUE 0 72x72 #> 3 gif 400 310 sRGB TRUE 0 72x72 #> 4 gif 400 310 sRGB TRUE 0 72x72 #> 5 gif 400 310 sRGB TRUE 0 72x72 #> 6 gif 400 310 sRGB TRUE 0 72x72 #> 7 gif 400 310 sRGB TRUE 0 72x72 #> 8 gif 400 310 sRGB TRUE 0 72x72