Develop Reference

Renaming, resizing, and moving image files in python

I am trying to create a program that will resize any image in a directory to 299x299. Then, I want to rename that image and convert it to a jpeg, so that all of the images will be named 0.jpg, 1.jpg, 2.jpg, etc. I also want to move the converted files to their own directory.
I have already solved the resizing portion of it. However, when I added the code for renaming, i.e. (index = 0, new_image.save)file_name, str(index), + ".jpg", and index += 1), the resizing portion no longer works. Does anyone have any suggestions?
This is what I have so far:
#!usr/bin/python
from PIL import Image
import os, sys
directory = sys.argv[1]
for file_name in os.listdir(directory):
print ("Converting %s" % file_name + "...")
image = Image.open(os.path.join(directory, file_name))
size = 299, 299
image.thumbnail(size, Image.ANTIALIAS)
w, h = image.size
new_image = Image.new('RGBA', size, (255, 255, 255, 255))
new_image.paste(image, ((299 - w) / 2, (299 - h) / 2))
index = 0
new_image_file_name = os.path.join(directory, file_name)
new_image.save(file_name, str(index) + ".jpg")
index += 1
print ("Conversion process complete.")

From the documentation:
Image.save(fp, format=None, **params)
Saves this image under the given
filename. If no format is specified, the format to use is determined
from the filename extension, if possible.
The correct syntax for image.save is:
new_image.save(file_name, 'JPG')
To move a file, you can use shutil.move:
import shutil
shutil.move(file_name, 'full/path/to/dst/') # the second argument can be a directory

Loading resized image with cv2.imread failed with TypeError [duplicate]

I have the following code that I thought would resize the images in the specified path
But when I run it, nothing works and yet python doesn't throw any error so I don't know what to do. Please advise. Thanks.
from PIL import Image
import os, sys
path = ('C:\Users\Maxxie\color\complete')
def resize():
for item in os.listdir(path):
if os.path.isfile(item):
im = Image.open(item)
f, e = os.path.splitext(item)
imResize = im.resize((200,200), Image.ANTIALIAS)
imResize.save(f + ' resized.jpg', 'JPEG', quality=90)
resize()

#!/usr/bin/python
from PIL import Image
import os, sys
path = "/root/Desktop/python/images/"
dirs = os.listdir( path )
def resize():
for item in dirs:
if os.path.isfile(path+item):
im = Image.open(path+item)
f, e = os.path.splitext(path+item)
imResize = im.resize((200,200), Image.ANTIALIAS)
imResize.save(f + ' resized.jpg', 'JPEG', quality=90)
resize()
Your mistake is belong to full path of the files. Instead of item must be path+item

John Ottenlips's solution created pictures with black borders on top/bottom i think because he used
Image.new("RGB", (final_size, final_size))
which creates a square new image with the final_size as dimension, even if the original picture was not a square.
This fixes the problem and, in my opinion, makes the solution a bit clearer:
from PIL import Image
import os
path = "C:/path/needs/to/end/with/a/"
resize_ratio = 0.5 # where 0.5 is half size, 2 is double size
def resize_aspect_fit():
dirs = os.listdir(path)
for item in dirs:
if item == '.jpg':
continue
if os.path.isfile(path+item):
image = Image.open(path+item)
file_path, extension = os.path.splitext(path+item)
new_image_height = int(image.size[0] / (1/resize_ratio))
new_image_length = int(image.size[1] / (1/resize_ratio))
image = image.resize((new_image_height, new_image_length), Image.ANTIALIAS)
image.save(file_path + "_small" + extension, 'JPEG', quality=90)
resize_aspect_fit()

In case you want to keep the same aspect ratio of the image you can use this script.
from PIL import Image
import os, sys
path = "/path/images/"
dirs = os.listdir( path )
final_size = 244;
def resize_aspect_fit():
for item in dirs:
if item == '.DS_Store':
continue
if os.path.isfile(path+item):
im = Image.open(path+item)
f, e = os.path.splitext(path+item)
size = im.size
ratio = float(final_size) / max(size)
new_image_size = tuple([int(x*ratio) for x in size])
im = im.resize(new_image_size, Image.ANTIALIAS)
new_im = Image.new("RGB", (final_size, final_size))
new_im.paste(im, ((final_size-new_image_size[0])//2, (final_size-new_image_size[1])//2))
new_im.save(f + 'resized.jpg', 'JPEG', quality=90)
resize_aspect_fit()

Expanding on the great solution of #Sanjar Stone
for including subfolders and also avoid DS warnings you can use the glob library:
from PIL import Image
import os, sys
import glob
root_dir = "/.../.../.../"
for filename in glob.iglob(root_dir + '**/*.jpg', recursive=True):
print(filename)
im = Image.open(filename)
imResize = im.resize((28,28), Image.ANTIALIAS)
imResize.save(filename , 'JPEG', quality=90)

This code just worked for me to resize images..
from PIL import Image
import glob
import os
# new folder path (may need to alter for Windows OS)
# change path to your path
path = 'yourpath/Resized_Shapes' #the path where to save resized images
# create new folder
if not os.path.exists(path):
os.makedirs(path)
# loop over existing images and resize
# change path to your path
for filename in glob.glob('your_path/*.jpg'): #path of raw images
img = Image.open(filename).resize((306,306))
# save resized images to new folder with existing filename
img.save('{}{}{}'.format(path,'/',os.path.split(filename)[1]))

For those that are on Windows:
from PIL import Image
import glob
image_list = []
resized_images = []
for filename in glob.glob('YOURPATH\\*.jpg'):
print(filename)
img = Image.open(filename)
image_list.append(img)
for image in image_list:
image = image.resize((224, 224))
resized_images.append(image)
for (i, new) in enumerate(resized_images):
new.save('{}{}{}'.format('YOURPATH\\', i+1, '.jpg'))

Heavily borrowed the code from #Sanjar Stone. This code work well in Windows OS.
Can be used to bulky resize the images and assembly back to its corresponding subdirectory.
Original folder with it subdir:
..\DATA\ORI-DIR
├─Apolo
├─Bailey
├─Bandit
├─Bella
New folder with its subdir:
..\DATA\NEW-RESIZED-DIR
├─Apolo
├─Bailey
├─Bandit
├─Bella
Gist link: https://gist.github.com/justudin/2c1075cc4fd4424cb8ba703a2527958b
from PIL import Image
import glob
import os
# new folder path (may need to alter for Windows OS)
# change path to your path
ORI_PATH = '..\DATA\ORI-DIR'
NEW_SIZE = 224
PATH = '..\DATA\NEW-RESIZED-DIR' #the path where to save resized images
# create new folder
if not os.path.exists(PATH):
os.makedirs(PATH)
# loop over existing images and resize
# change path to your path
for filename in glob.glob(ORI_PATH+'**/*.jpg'): #path of raw images with is subdirectory
img = Image.open(filename).resize((NEW_SIZE,NEW_SIZE))
# get the original location and find its subdir
loc = os.path.split(filename)[0]
subdir = loc.split('\\')[1]
# assembly with its full new directory
fullnew_subdir = PATH+"/"+subdir
name = os.path.split(filename)[1]
# check if the subdir is already created or not
if not os.path.exists(fullnew_subdir):
os.makedirs(fullnew_subdir)
# save resized images to new folder with existing filename
img.save('{}{}{}'.format(fullnew_subdir,'/',name))

Expanded the answer of Andrei M. In order to only change the height of the picture and automatically size the width.
from PIL import Image
import os
path = "D:/.../.../.../resized/"
dirs = os.listdir(path)
def resize():
for item in dirs:
if item == '.jpg':
continue
if os.path.isfile(path+item):
image = Image.open(path+item)
file_path, extension = os.path.splitext(path+item)
size = image.size
new_image_height = 190
new_image_width = int(size[1] / size[0] * new_image_height)
image = image.resize((new_image_height, new_image_width), Image.ANTIALIAS)
image.save(file_path + "_small" + extension, 'JPEG', quality=90)
resize()

If you want to resize any image from a folder where without images files, other files also exist, then you can try this:
from genericpath import isdir
from PIL import Image
import os, sys
path = "C://...//...//....//...//"
save_path = "C://...//..//...//...//"
images = os.listdir(path)
if not os.path.isdir(save_path):
os.makedirs(save_path)
for image in images:
image_path = os.path.join(path, image)
iamge_save_path = os.path.join(save_path, image)
if image.split(".")[1] not in ["jpg", "png"]:
continue
if os.path.exists(image_path):
im = Image.open(image_path)
image_resized = im.resize((224,224))
image_resized.save(iamge_save_path, quality=90)
# print("saved")

Safer to use pathlib
As jwal commented on a similar question, use the object-oriented counterparts for os of pathlib:
p = Path('images') to define the path instance (here as directory relative to current)
Path.iterdir() to find files in the path instance
Path.absolute() to get the absolute-path for file-IO functions
Path.joinpath(*other) to add subfolders or filenames
Path.mkdir(parents=True, exist_ok=True)
Path.name to return the basename of the file (like picture.png)
from pathlib import Path
# folder = 'images'
# new_dimension = (width, height)
def resize(folder, new_dimension, new_subdir):
images_folder = Path(folder)
for child in images_folder.iterdir():
print("Found image:", child)
image_path = child.absolute()
image = Image.open(image_path)
resized_image = image.resize() # could also add Image.ANTIALIAS
# create if the subdir not exists
subdir = images_folder.join(new_subdir)
if not subdir.exists():
subdir.mkdir(parents=True, exist_ok=True)
to_path = subdir.joinpath(child.name) # join adds the path-separators
print("Saving resized to:", to_path)
resized_image.save(to_path) # could also add save-options like 'JPEG', quality=90

Loading all images using imread from a given folder

Loading and saving images in OpenCV is quite limited, so... what is the preferred ways to load all images from a given folder? Should I search for files in that folder with .png or .jpg extensions, store the names and use imread with every file? Or is there a better way?

Why not just try loading all the files in the folder? If OpenCV can't open it, oh well. Move on to the next. cv2.imread() returns None if the image can't be opened. Kind of weird that it doesn't raise an exception.
import cv2
import os
def load_images_from_folder(folder):
images = []
for filename in os.listdir(folder):
img = cv2.imread(os.path.join(folder,filename))
if img is not None:
images.append(img)
return images

I used skimage. You can create a collection and access elements the standard way, i.e. col[index]. This will give you the RGB values.
from skimage.io import imread_collection
#your path
col_dir = 'cats/*.jpg'
#creating a collection with the available images
col = imread_collection(col_dir)

import glob
cv_img = []
for img in glob.glob("Path/to/dir/*.jpg"):
n= cv2.imread(img)
cv_img.append(n)`

If all images are of the same format:
import cv2
import glob
images = [cv2.imread(file) for file in glob.glob('path/to/files/*.jpg')]
For reading images of different formats:
import cv2
import glob
imdir = 'path/to/files/'
ext = ['png', 'jpg', 'gif'] # Add image formats here
files = []
[files.extend(glob.glob(imdir + '*.' + e)) for e in ext]
images = [cv2.imread(file) for file in files]

you can use glob function to do this. see the example
import cv2
import glob
for img in glob.glob("path/to/folder/*.png"):
cv_img = cv2.imread(img)

You can also use matplotlib for this, try this out:
import matplotlib.image as mpimg
def load_images(folder):
images = []
for filename in os.listdir(folder):
img = mpimg.imread(os.path.join(folder, filename))
if img is not None:
images.append(img)
return images

import os
import cv2
rootdir = "directory path"
for subdir, dirs, files in os.walk(rootdir):
for file in files:
frame = cv2.imread(os.path.join(subdir, file))

To add onto the answer from Rishabh and make it able to handle files that are not images that are found in the folder.
import matplotlib.image as mpimg
images = []
folder = './your/folder/'
for filename in os.listdir(folder):
try:
img = mpimg.imread(os.path.join(folder, filename))
if img is not None:
images.append(img)
except:
print('Cant import ' + filename)
images = np.asarray(images)

Here is a simple script that feature opencv, scikit image, and glob
#!C:\Users\test\anaconda3\envs\data_aquisition\python.exe
import glob
import argparse
from timeit import default_timer as timer
import skimage
from skimage.io import imread_collection
import cv2
def get_args():
parser = argparse.ArgumentParser(
description='script that test the fastest image loading methods')
parser.add_argument('src_path', help = "diractorry that contains the ims")
parser.add_argument('extension', help = "extension of the images",choices=['jpg','png','webp'])
return parser.parse_args()
def load_imgs_scikit_image_collection(path:str):
#creating a collection with the available images
col = imread_collection(path)
print('loaded: ',len(col),' imgs')
return col
def load_imgs_scikit_image_glob(path):
imgs = []
for img in glob.glob(path):
imgs.append(skimage.io.imread(img))
return imgs
def load_image_opencv(path:str):
imgs = []
for f in glob.glob(path):
imgs.extend(cv2.imread(f))
return imgs
def load_image_opencv_glob(path:str):
filenames = glob.glob(path)
filenames.sort()
images = [cv2.imread(img) for img in filenames]
return images
def laod_images_opencv_extisions(path):
ext = [".jpg",".gif",".png",".tga",".webp"] # Add image formats here
files = []
images = []
[files.extend(glob.glob(path + '/*' + e)) for e in ext]
images.extend([cv2.imread(file) for file in files])
return images
def laod_images_ski_extisions(path):
ext = [".jpg",".gif",".png",".tga",".webp"] # Add image formats here
files = []
images = []
[files.extend(glob.glob(path + '/*' + e)) for e in ext]
images.extend([skimage.io.imread(file) for file in files])
return images
def show_image(img):
window_name = 'image'
cv2.imshow(window_name, img)
cv2.waitKey(0)
cv2.destroyAllWindows()
def main():
args = get_args()
dir = args.src_path+'/*.'+args.extension
start = timer()
imgs=load_imgs_scikit_image_collection(dir)
end = timer()
print('scikit_image image collection',end - start) #time 0.08381089999999991
show_image(imgs[2])
start = timer()
load_imgs_scikit_image_glob(dir)
end = timer()
print('scikit_image and glob',end - start) #time 16.627431599999998
# dir = args.src_path+'\\.*'+args.extension
start = timer()
imgs_opencv = load_image_opencv_glob(dir) #time 10.9856656
end = timer()
print('opencv glob',end - start)
show_image(imgs_opencv[2])
start = timer()
valid_imgs_opencv = laod_images_opencv_extisions(args.src_path) #time 11.318516700000004
end = timer()
print('opencv glob extensions',end - start)
show_image(valid_imgs_opencv[2])
start = timer()
valid_imgs_opencv = laod_images_ski_extisions(args.src_path) #time 15.939870800000001
end = timer()
print('scikit_image glob extensions',end - start)
show_image(valid_imgs_opencv[2])
main()
Command to run script: python best_image_loader.py D:\data\dataset\radar_dome\manual png
png is used to load only png files.
Output
loaded: 876 imgs
scikit_image image collection 0.08248239999999996
scikit_image and glob 14.939381200000001
opencv glob 10.9708085
opencv glob extensions 10.974014100000005
scikit_image glob extensions 14.877048600000002

your_path = 'your_path'
ext = ['*.jpg', '*.png', '*.gif'] # Add image formats here
images = []
not_copy = 0
for item in [your_path + '/' + e for e in ext]:
images += glob(item)

How do I fix my error with PIL and numpy images

You have to run it in the folder with a couple images and run shuffle_all_images() and it will create new folder and randomly generate all of the values for each pixel. I think it has to do with not converting to numpy images as opposed to PIL images?, but I can't figure it out.
import random
import os.path
import PIL
import numpy
def image_shuffle(original_image):
for row in len(original_image):
for col in len(original_image[1]):
r,g,b = original_image[row][col]
r = random.randint(1,255)
g = random.randint(1,255)
b = random.randint(1,255)
original_image[row][col] = [r, g, b]
return original_image
def get_images(directory=None):
""" Returns PIL.Image objects for all the images in directory.
If directory is not specified, uses current directory.
Returns a 2-tuple containing
a list with a PIL.Image object for each image file in root_directory, and
a list with a string filename for each image file in root_directory
"""
if directory == None:
directory = os.getcwd() # Use working directory if unspecified
image_list = [] # Initialize aggregaotrs
file_list = []
directory_list = os.listdir(directory) # Get list of files
for entry in directory_list:
absolute_filename = os.path.join(directory, entry)
try:
image = PIL.Image.open(absolute_filename)
file_list += [entry]
image_list += [image]
except IOError:
pass # do nothing with errors tying to open non-images
return image_list, file_list
def shuffle_all_images(directory=None):
""" Saves a modfied version of each image in directory.
Uses current directory if no directory is specified.
Places images in subdirectory 'modified', creating it if it does not exist.
New image files are of type PNG and have transparent rounded corners.
"""
if directory == None:
directory = os.getcwd() # Use working directory if unspecified
# Create a new directory 'modified'
new_directory = os.path.join(directory, 'modified')
try:
os.mkdir(new_directory)
except OSError:
pass # if the directory already exists, proceed
#load all the images
image_list, file_list = get_images(directory)
#go through the images and save modified versions
for n in range(len(image_list)):
# Parse the filename
filename, filetype = file_list[n].split('.')
# Round the corners with radius = 30% of short side
new_image = image_shuffle(image_list[n])
#save the altered image, suing PNG to retain transparency
new_image_filename = os.path.join(new_directory, filename + '.png')
new_image.save(new_image_filename)

The image_shuffle function is wrong.
It should be:
for row in range(original_image.size[0]):
for col in range(original_image.size[1]):
r = random.randint(0,255)
g = random.randint(0,255)
b = random.randint(0,255)
original_image.putpixel((row, col), (r,g,b))
You want to have color values starting from 0 unless you don't want to get all the possible colors.

Python/PIL Resize all images in a folder

I have the following code that I thought would resize the images in the specified path
But when I run it, nothing works and yet python doesn't throw any error so I don't know what to do. Please advise. Thanks.
from PIL import Image
import os, sys
path = ('C:\Users\Maxxie\color\complete')
def resize():
for item in os.listdir(path):
if os.path.isfile(item):
im = Image.open(item)
f, e = os.path.splitext(item)
imResize = im.resize((200,200), Image.ANTIALIAS)
imResize.save(f + ' resized.jpg', 'JPEG', quality=90)
resize()

#!/usr/bin/python
from PIL import Image
import os, sys
path = "/root/Desktop/python/images/"
dirs = os.listdir( path )
def resize():
for item in dirs:
if os.path.isfile(path+item):
im = Image.open(path+item)
f, e = os.path.splitext(path+item)
imResize = im.resize((200,200), Image.ANTIALIAS)
imResize.save(f + ' resized.jpg', 'JPEG', quality=90)
resize()
Your mistake is belong to full path of the files. Instead of item must be path+item

John Ottenlips's solution created pictures with black borders on top/bottom i think because he used
Image.new("RGB", (final_size, final_size))
which creates a square new image with the final_size as dimension, even if the original picture was not a square.
This fixes the problem and, in my opinion, makes the solution a bit clearer:
from PIL import Image
import os
path = "C:/path/needs/to/end/with/a/"
resize_ratio = 0.5 # where 0.5 is half size, 2 is double size
def resize_aspect_fit():
dirs = os.listdir(path)
for item in dirs:
if item == '.jpg':
continue
if os.path.isfile(path+item):
image = Image.open(path+item)
file_path, extension = os.path.splitext(path+item)
new_image_height = int(image.size[0] / (1/resize_ratio))
new_image_length = int(image.size[1] / (1/resize_ratio))
image = image.resize((new_image_height, new_image_length), Image.ANTIALIAS)
image.save(file_path + "_small" + extension, 'JPEG', quality=90)
resize_aspect_fit()

In case you want to keep the same aspect ratio of the image you can use this script.
from PIL import Image
import os, sys
path = "/path/images/"
dirs = os.listdir( path )
final_size = 244;
def resize_aspect_fit():
for item in dirs:
if item == '.DS_Store':
continue
if os.path.isfile(path+item):
im = Image.open(path+item)
f, e = os.path.splitext(path+item)
size = im.size
ratio = float(final_size) / max(size)
new_image_size = tuple([int(x*ratio) for x in size])
im = im.resize(new_image_size, Image.ANTIALIAS)
new_im = Image.new("RGB", (final_size, final_size))
new_im.paste(im, ((final_size-new_image_size[0])//2, (final_size-new_image_size[1])//2))
new_im.save(f + 'resized.jpg', 'JPEG', quality=90)
resize_aspect_fit()

Expanding on the great solution of #Sanjar Stone
for including subfolders and also avoid DS warnings you can use the glob library:
from PIL import Image
import os, sys
import glob
root_dir = "/.../.../.../"
for filename in glob.iglob(root_dir + '**/*.jpg', recursive=True):
print(filename)
im = Image.open(filename)
imResize = im.resize((28,28), Image.ANTIALIAS)
imResize.save(filename , 'JPEG', quality=90)

This code just worked for me to resize images..
from PIL import Image
import glob
import os
# new folder path (may need to alter for Windows OS)
# change path to your path
path = 'yourpath/Resized_Shapes' #the path where to save resized images
# create new folder
if not os.path.exists(path):
os.makedirs(path)
# loop over existing images and resize
# change path to your path
for filename in glob.glob('your_path/*.jpg'): #path of raw images
img = Image.open(filename).resize((306,306))
# save resized images to new folder with existing filename
img.save('{}{}{}'.format(path,'/',os.path.split(filename)[1]))

For those that are on Windows:
from PIL import Image
import glob
image_list = []
resized_images = []
for filename in glob.glob('YOURPATH\\*.jpg'):
print(filename)
img = Image.open(filename)
image_list.append(img)
for image in image_list:
image = image.resize((224, 224))
resized_images.append(image)
for (i, new) in enumerate(resized_images):
new.save('{}{}{}'.format('YOURPATH\\', i+1, '.jpg'))

Heavily borrowed the code from #Sanjar Stone. This code work well in Windows OS.
Can be used to bulky resize the images and assembly back to its corresponding subdirectory.
Original folder with it subdir:
..\DATA\ORI-DIR
├─Apolo
├─Bailey
├─Bandit
├─Bella
New folder with its subdir:
..\DATA\NEW-RESIZED-DIR
├─Apolo
├─Bailey
├─Bandit
├─Bella
Gist link: https://gist.github.com/justudin/2c1075cc4fd4424cb8ba703a2527958b
from PIL import Image
import glob
import os
# new folder path (may need to alter for Windows OS)
# change path to your path
ORI_PATH = '..\DATA\ORI-DIR'
NEW_SIZE = 224
PATH = '..\DATA\NEW-RESIZED-DIR' #the path where to save resized images
# create new folder
if not os.path.exists(PATH):
os.makedirs(PATH)
# loop over existing images and resize
# change path to your path
for filename in glob.glob(ORI_PATH+'**/*.jpg'): #path of raw images with is subdirectory
img = Image.open(filename).resize((NEW_SIZE,NEW_SIZE))
# get the original location and find its subdir
loc = os.path.split(filename)[0]
subdir = loc.split('\\')[1]
# assembly with its full new directory
fullnew_subdir = PATH+"/"+subdir
name = os.path.split(filename)[1]
# check if the subdir is already created or not
if not os.path.exists(fullnew_subdir):
os.makedirs(fullnew_subdir)
# save resized images to new folder with existing filename
img.save('{}{}{}'.format(fullnew_subdir,'/',name))

Expanded the answer of Andrei M. In order to only change the height of the picture and automatically size the width.
from PIL import Image
import os
path = "D:/.../.../.../resized/"
dirs = os.listdir(path)
def resize():
for item in dirs:
if item == '.jpg':
continue
if os.path.isfile(path+item):
image = Image.open(path+item)
file_path, extension = os.path.splitext(path+item)
size = image.size
new_image_height = 190
new_image_width = int(size[1] / size[0] * new_image_height)
image = image.resize((new_image_height, new_image_width), Image.ANTIALIAS)
image.save(file_path + "_small" + extension, 'JPEG', quality=90)
resize()

If you want to resize any image from a folder where without images files, other files also exist, then you can try this:
from genericpath import isdir
from PIL import Image
import os, sys
path = "C://...//...//....//...//"
save_path = "C://...//..//...//...//"
images = os.listdir(path)
if not os.path.isdir(save_path):
os.makedirs(save_path)
for image in images:
image_path = os.path.join(path, image)
iamge_save_path = os.path.join(save_path, image)
if image.split(".")[1] not in ["jpg", "png"]:
continue
if os.path.exists(image_path):
im = Image.open(image_path)
image_resized = im.resize((224,224))
image_resized.save(iamge_save_path, quality=90)
# print("saved")

Safer to use pathlib
As jwal commented on a similar question, use the object-oriented counterparts for os of pathlib:
p = Path('images') to define the path instance (here as directory relative to current)
Path.iterdir() to find files in the path instance
Path.absolute() to get the absolute-path for file-IO functions
Path.joinpath(*other) to add subfolders or filenames
Path.mkdir(parents=True, exist_ok=True)
Path.name to return the basename of the file (like picture.png)
from pathlib import Path
# folder = 'images'
# new_dimension = (width, height)
def resize(folder, new_dimension, new_subdir):
images_folder = Path(folder)
for child in images_folder.iterdir():
print("Found image:", child)
image_path = child.absolute()
image = Image.open(image_path)
resized_image = image.resize() # could also add Image.ANTIALIAS
# create if the subdir not exists
subdir = images_folder.join(new_subdir)
if not subdir.exists():
subdir.mkdir(parents=True, exist_ok=True)
to_path = subdir.joinpath(child.name) # join adds the path-separators
print("Saving resized to:", to_path)
resized_image.save(to_path) # could also add save-options like 'JPEG', quality=90