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I am trying to convert high resolution images to something more manageable for machine learning. Currently I have the code to resize the images to what ever height and width I want however I have to do one image at a time which isn't bad when I'm only doing a 12-24 images but soon I want to scale up to do a few hundred images.
I am trying to read in a directory rather than individual images and save the new images in a new directory. Initial images will vary from .jpg, .png, .tif, etc. but I would like to make all the output images as .png like I have in my code.
import os
from PIL import Image
filename = "filename.jpg"
size = 250, 250
file_parts = os.path.splitext(filename)
outfile = file_parts[0] + '_250x250' + file_parts[1]
try:
img = Image.open(filename)
img = img.resize(size, Image.ANTIALIAS)
img.save(outfile, 'PNG')
except IOError as e:
print("An exception occured '%s'" %e)
Any help with this problem is appreciated.
Assuming the solution you are looking for is to handle multiple images at the same time - here is a solution. See here for more info.
from multiprocessing import Pool
def handle_image(image_file):
print(image_file)
#TODO implement the image manipulation here
if __name__ == '__main__':
p = Pool(5) # 5 as an example
# assuming you know how to prepare image file list
print(p.map(handle_image, ['a.jpg', 'b.jpg', 'c.png']))
You can use this:
#!/usr/bin/python
from PIL import Image
import os, sys
path = "\\path\\to\\files\\"
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((200,100), Image.ANTIALIAS)
imResize.save(f+'.png', 'png', quality=80)
resize()
You can loop over the contents of a directory with
import os
for root, subdirs, files in os.walk(MY_DIRECTORY):
for f in files:
if f.endswith('png'):
#do something
You can run through all the images inside the directory using glob. And then resize the images with opencv as follows or as you have done with PIL.
import glob
import cv2
import numpy as np
IMG_DIR='home/xx/imgs'
def read_images(directory):
for img in glob.glob(directory+"/*.png"):
image = cv2.imread(img)
resized_img = cv2.resize(image/255.0 , (250 , 250))
yield resized_img
resized_imgs = np.array(list(read_images(IMG_DIR)))
I used:
from PIL import Image
import os, sys
path = os.path.dirname(os.path.abspath(__file__))
dirs = os.listdir( path )
final_size = 244
print(dirs)
def resize_aspect_fit():
for item in dirs:
if ".PNG" in item:
print(item)
im = Image.open(path+"\\"+item)
f, e = os.path.splitext(path+"\\"+item)
size = im.size
print(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))
print(f)
new_im.save(f + 'resized.jpg', 'JPEG', quality=400)# png
resize_aspect_fit()
You can use this code to resize multiple images and save them after conversion in the same folder for let's say dimensions of (200,200):
import os
from PIL import Image
f = r' ' #Enter the location of your Image Folder
new_d = 200
for file in os.listdir(f):
f_img = f+'/'+file
try:
img = Image.open(f_img)
img = img.resize((new_d, new_d))
img.save(f_img)
except IOError:
pass
you can try to use the PIL library to resize images in python
import PIL
import os
import os.path
from PIL import Image
path = r'your images path here'
for file in os.listdir(path):
f_img = path+"/"+file
img = Image.open(f_img)
img = img.resize((100, 100)) #(width, height)
img.save(f_img)
from PIL import Image
import os
images_dir_path=' '
def image_rescaling(path):
for img in os.listdir(path):
img_dir=os.path.join(path,img)
img = Image.open(img_dir)
img = img.resize((224, 224))
img.save(img_dir)
image_rescaling(images_dir_path)
I already saw the examples suggested but some of them don't work.
So, I have this code which seems to work fine for one image:
im = Image.open('C:\\Users\\User\\Desktop\\Images\\2.jpg') # image extension *.png,*.jpg
new_width = 1200
new_height = 750
im = im.resize((new_width, new_height), Image.ANTIALIAS)
im.save('C:\\Users\\User\\Desktop\\resized.tif') # .jpg is deprecated and raise error....
How can I iterate it and resize more than one image ? Aspect ration need to be maintained.
Thank you
# Resize all images in a directory to half the size.
#
# Save on a new file with the same name but with "small_" prefix
# on high quality jpeg format.
#
# If the script is in /images/ and the files are in /images/2012-1-1-pics
# call with: python resize.py 2012-1-1-pics
import Image
import os
import sys
directory = sys.argv[1]
for file_name in os.listdir(directory):
print("Processing %s" % file_name)
image = Image.open(os.path.join(directory, file_name))
x,y = image.size
new_dimensions = (x/2, y/2) #dimension set here
output = image.resize(new_dimensions, Image.ANTIALIAS)
output_file_name = os.path.join(directory, "small_" + file_name)
output.save(output_file_name, "JPEG", quality = 95)
print("All done")
Where it says
new_dimensions = (x/2, y/2)
You can set any dimension value you want
for example, if you want 300x300, then change the code like the code line below
new_dimensions = (300, 300)
I assume that you want to iterate over images in a specific folder.
You can do this:
import os
from datetime import datetime
for image_file_name in os.listdir('C:\\Users\\User\\Desktop\\Images\\'):
if image_file_name.endswith(".tif"):
now = datetime.now().strftime('%Y%m%d-%H%M%S-%f')
im = Image.open('C:\\Users\\User\\Desktop\\Images\\'+image_file_name)
new_width = 1282
new_height = 797
im = im.resize((new_width, new_height), Image.ANTIALIAS)
im.save('C:\\Users\\User\\Desktop\\test_resize\\resized' + now + '.tif')
datetime.now() is just added to make the image names unique. It is just a hack that came to my mind first. You can do something else. This is needed in order not to override each other.
I assume that you have a list of images in some folder and you to resize all of them
from PIL import Image
import os
source_folder = 'path/to/where/your/images/are/located/'
destination_folder = 'path/to/where/you/want/to/save/your/images/after/resizing/'
directory = os.listdir(source_folder)
for item in directory:
img = Image.open(source_folder + item)
imgResize = img.resize((new_image_width, new_image_height), Image.ANTIALIAS)
imgResize.save(destination_folder + item[:-4] +'.tif', quality = 90)
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 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)
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