r管道image_annotate无法按预期工作 [英] r piping image_annotate doesn't work as expected
问题描述
我正在尝试使用 magick
从一堆图像中创建动画gif.它工作得很好,但是我想在创建gif之前在每个图像上注释文本(基本上是文件名),但这是行不通的.
我找不到错误的原因(如下)-不确定是管道符号,映射函数还是其他原因.
库(purrr)图书馆(魔术)#set工作目录,带有几个png#这有效:image_read("image1.png")%>%image_annotate("Text")#这也适用:list.files(path =",pattern ="* .png",full.names = T)%&%;%map(image_read)%>%image_join()%>%image_animate(fps = 1)%&%;%image_write("animated.gif")#但是,这不是:list.files(path =",pattern ="* .png",full.names = T)%&%;%map(image_read)%>%map(image_annotate("Text"))%&%;%image_join()%>%image_animate(fps = 1)%&%;%image_write("animated.gif")
我收到此错误: inherits(image,"magick-image")中的错误:参数"image"丢失,没有默认值
在我看来,错误似乎出在嵌套地图上.
由于您已经在 image_read
期间进行了映射,因此对于 image_annotate
,
修改因此,我们需要将功能 image_annotate
应用于映射的 image_read
返回的列表中的每个元素.尝试将 map(image_annotate("Text")%>%
替换为:
lapply(image_annotate("Text"))%>%
或
lapply(.%>%image_annotate("Text"))%>%
I am trying to using magick
to create an animated gif from a bunch of images. It works just fine but I wanted to annotate text (basically the file name) to each image before creating the gif - and that doesn't work.
I can't find the cause of the error (below) - not sure if it is the piping notation, the map function, or something else.
library(purrr)
library(magick)
#set working directory with a couple of png's
#This works:
image_read("image1.png") %>% image_annotate("Text")
#and this works too:
list.files(path = "", pattern = "*.png", full.names = T) %>%
map(image_read) %>%
image_join() %>%
image_animate(fps=1) %>%
image_write("animated.gif")
#but this doesn't:
list.files(path = "", pattern = "*.png", full.names = T) %>%
map(image_read) %>%
map(image_annotate("Text")) %>%
image_join() %>%
image_animate(fps=1) %>%
image_write("animated.gif")
I get this error:
Error in inherits(image, "magick-image") :
argument "image" is missing, with no default
It looks to me as though the error might be in nesting your map.
Since you have already mapped during image_read
, it is not necessary to do so again for image_annotate
,
Edit
So we need to apply the function image_annotate
to each element in the list returned by the mapped image_read
. Try replacing map(image_annotate("Text") %>%
with :
lapply(image_annotate("Text")) %>%
or
lapply(. %>% image_annotate("Text")) %>%
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