Ross Ross - 1 year ago 63
R Question

Batch blur images using multiple cores

I'm trying to blur the bottom section of thousands (>50,000) of images using imagemagick. Image resolution is 800x600. The command line code (below) works, but takes a long time. Is there any way that this can be run in parallel, and hopefully called from within R using system()?

I got this code off the internet, so I'm not sure if it's the best way to even achieve this objective? Any help would be greatly appreciated. Thanks in advance!

(OS = OSX El Capitan)

cd /Users/Desktop/test_images
list=$(ls *.jpg)
for img in $list; do
convert $img \
\( -size 800x525 xc:black -size 800x75 xc:white -append \) \
-compose blur -define compose:args=6 -composite \
cd /Users/Desktop/test_images/results/$img

Answer Source

I think this command does something very similar to what you are doing but is FAR quicker. See if you like the effect:

convert start.jpg \( +clone -crop +0+525 -blur x4 \) -gravity south -composite result.jpg

enter image description here

If that works, you can use GNU Parallel just as before:

parallel 'convert {} \( +clone -crop +0+525 -blur x4 \) -gravity south -composite results/{}' ::: *.jpg

You can also put that lot in a script called BlurTitle like this:

parallel 'convert {} \( +clone -crop +0+525 -blur x4 \) -gravity south -composite results/{}' ::: *.jpg

and then make it executable with:

chmod +x BlurTitle

and call it from R with:


or from the Terminal with:

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