-
-
Save glombard/7cd166e311992a828675 to your computer and use it in GitHub Desktop.
# Combine multiple images into one. | |
# | |
# To install the Pillow module on Mac OS X: | |
# | |
# $ xcode-select --install | |
# $ brew install libtiff libjpeg webp little-cms2 | |
# $ pip install Pillow | |
# | |
from __future__ import print_function | |
import os | |
from PIL import Image | |
files = [ | |
'~/Downloads/1.jpg', | |
'~/Downloads/2.jpg', | |
'~/Downloads/3.jpg', | |
'~/Downloads/4.jpg'] | |
result = Image.new("RGB", (800, 800)) | |
for index, file in enumerate(files): | |
path = os.path.expanduser(file) | |
img = Image.open(path) | |
img.thumbnail((400, 400), Image.ANTIALIAS) | |
x = index // 2 * 400 | |
y = index % 2 * 400 | |
w, h = img.size | |
print('pos {0},{1} size {2},{3}'.format(x, y, w, h)) | |
result.paste(img, (x, y, x + w, y + h)) | |
result.save(os.path.expanduser('~/image.jpg')) |
Thanks a lot for sharing. My requirement is to combine 3 images to make book cover. That is Front Image, Spine, Back Image
Hey :)
I forked your cool snipped. Check it out!
It is so much helpful, thank you for sharing!
I need to read two images from cameras in raspberry pi and then save the images side by side
Hi, how are you? I have a question about concatenating the layers of the images. For example. I have two images: one RGB (three layers) and another grayscale (one layer) of the same size. How do I join (unite) the two images, that is, join (unite) the four layers into a single array? I need is to have a 4-layer output.
Hello,
I want to have 2 types of layout: single column and 2 column with random sized sub-images. Can you help me with that?
Thanks a bunch.
I've created a function to stitch an arbitrary number of images. I am suing STL10 dataset from torchvision. So, please change the folder_of_data = '/home/morawi/data' to the one you are using and off you go.
https://gist.github.com/morawi/4879f4a8c68c1a51056a25e565b80ccd
thank you very much. it really helps
Very good..
Not all heroes wear capes.....
You saved me , thanks a lot !