this script will resize and pad an image to desired square size and keep its aspect ratio unchanged. Before running the script, please change the size and image path to valid value.

resize_and_pad_image_to_square

from PIL import Image, ImageOps
import cv2

desired_size = 368
im_pth = "/home/jdhao/test.jpg"

# im = Image.open(im_pth)
# old_size = im.size  # old_size[0] is in (width, height) format

# ratio = float(desired_size)/max(old_size)
# new_size = tuple([int(x*ratio) for x in old_size])

## using thumbnai() or resize() method to resize the input image and keep its aspect ratio
# im.thumbnail(new_size, Image.ANTIALIAS)
# im = im.resize(new_size, Image.ANTIALIAS) 

## create a new square image with desired size and paste the resized image onto it. 
# new_im = Image.new("RGB", (desired_size, desired_size))
# new_im.paste(im, ((desired_size-new_size[0])//2,
#                       (desired_size-new_size[1])//2))

## or we can expand the resized image by adding borders to its 4 side
# delta_w = desired_size - new_size[0]
# delta_h = desired_size - new_size[1]
# padding = (delta_w//2, delta_h//2, delta_w-(delta_w//2), delta_h-(delta_h//2))
# print(padding)
# new_im = ImageOps.expand(im, padding, fill="black")
# new_im.show()

## opencv has copyMakeBorder() method which is handy for making borders
im = cv2.imread(im_pth)
old_size = im.shape[:2] # old_size is in (height, width) format
ratio = float(desired_size)/max(old_size)
new_size = tuple([int(x*ratio) for x in old_size])

# new_size should be in (width, height) format
im = cv2.resize(im, (new_size[1], new_size[0])) 

delta_w = desired_size - new_size[1]
delta_h = desired_size - new_size[0]
top, bottom = delta_h//2, delta_h-(delta_h//2)
left, right = delta_w//2, delta_w-(delta_w//2)

color = [0, 0, 0]
new_im = cv2.copyMakeBorder(im, top, bottom, left, right, cv2.BORDER_CONSTANT,
    value=color)

cv2.imshow("image", new_im)
cv2.waitKey(0)
cv2.destroyAllWindows()

Hi jdhao. Thanks for the code, pretty cool. I uncommented the part to draw a "black" box around the image. It didn't work right away and what I did is I changed new_size to not be multiplied by ratio as one would then have that x*ratio = desired_size which gives that new_size = desired_size. So the change is: new_size = tuple([int(x) for x in old_size]).

That is I just changed int(x*ratio) to be int(x). Now as long as the desired size is LARGER than the input image size, a black box should be drawn around it.

I removed the comments in the code as commenting via this forum the comments came up in large black bold. Uncommented and corrected code for that part is then:

from PIL import Image, ImageOps
import cv2

desired_size = 500
im_pth = "TestImage.jpg"

im = Image.open(im_pth)
old_size = im.size  

ratio = float(desired_size)/max(old_size)

new_size = tuple([int(x) for x in old_size])

im = im.resize(new_size, Image.ANTIALIAS)

new_im = Image.new("RGB", (desired_size, desired_size))
new_im.paste(im, ((desired_size-new_size[0])//2,
                      (desired_size-new_size[1])//2))

delta_w = desired_size - new_size[0]
delta_h = desired_size - new_size[1]
padding = (delta_w//2, delta_h//2, delta_w-(delta_w//2), delta_h-(delta_h//2))
print(padding)
new_im = ImageOps.expand(im, padding, fill="black")
new_im.show()

while running the code i get this error:
Traceback (most recent call last):
File "padding.py", line 7, in
old_size = im.shape[:2] # old_size is in (height, width) format
AttributeError: 'NoneType' object has no attribute 'shape'

any ideas whats wrong?

You have to paas single image path not the path of whole folder.