Develop Reference

Python How to save image to different directory?

import os
import glob
from PIL import Image
files = glob.glob('/Users/mac/PycharmProjects/crop001/1/*.jpg')
for f in files:
img = Image.open(f)
img_resize = img.resize((int(img.width / 2), int(img.height / 2)))
title, ext = os.path.splitext(f)
img_resize.save(title + '_half' + ext)
I want to save new images to
"/Users/mac/PycharmProjects/crop001/1/11/*.jpg"
Not
"/Users/mac/PycharmProjects/crop001/1/*.jpg"
Any help will be appreciated!

You can save your processed images to your preferred directory (/Users/mac/PycharmProjects/crop001/1/11/*.jpg) by changing the parameter for img_resize.save() there.
Assuming that you still want to save the processed image with _half suffix in its filename. So the final code goes here:
import os
import glob
from PIL import Image
files = glob.glob('/Users/mac/PycharmProjects/crop001/1/*.jpg')
DESTINATION_PATH = '/Users/mac/PycharmProjects/crop001/1/11/' # The preferred path for saving the processed image
for f in files:
img = Image.open(f)
img_resize = img.resize((int(img.width / 2), int(img.height / 2)))
base_filename = os.path.basename(f)
title, ext = os.path.splitext(base_filename)
final_filepath = os.path.join(DESTINATION_PATH, title + '_half' + ext)
img_resize.save(final_filepath)
All of the function's docs I used here can be found here:
https://docs.python.org/3/library/os.path.html

Take an image directory and resize all images in the directory

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)

Copy images from folders

I have a bunch of jpgs in one folder (images) that I want to copy across to another folder (destination_folder). When they are copied across, I want the jpg files to be renamed as follows: filename1_red.jpg, filename2_red.jpg (i.e. adding on the suffix _red at the end)
I have the following so far:
import os
images = os.listdir('C:/Users/Admin-dsc/Documents/.../buses and motorcycles')
destination_folder = 'C:/Users/Admin-dsc/Documents/.../Buses'
for img in images:
filename = os.path.basename(img)
copyfile(img, os.path.join(destination_folder, filename))
Question 1: I get this error that I don't understand - how do I resolve it:
FileNotFoundError: [Errno 2] No such file or directory: 'RWG074059_2_o.jpg'
Question 2: I am unsure how to get the suffix.
Can anyone help?

os.listdir returns just the file names of the files in the specified folder, it doesn't return the complete path to the file. So, you need to join the source folder path with img:
import os
from shutil import copyfile
source_folder = 'C:/Users/Admin-dsc/Documents/.../buses and motorcycles'
destination_folder = 'C:/Users/Admin-dsc/Documents/.../Buses'
images = os.listdir(source_folder)
for img in images:
filename, ext = os.path.splitext(img)
filename = filename + '_red' + ext
copyfile(os.path.join(source_folder, img), os.path.join(destination_folder, filename))

How to debug this error:
import os
directory = 'C:/Users/Admin-dsc/Documents/.../buses and motorcycles'
images = os.listdir(directory)
for img in images:
print(img)
filename = os.path.basename(img)
print(filename)
Output:
main.py
main.py
What you can see:
You see that listdir() only returns filenames. You need to prepend the source folder again.
How to fix:
import os
directory = './'
destination_folder = 'C:/Users/Admin-dsc/Documents/.../Buses'
images = os.listdir(directory)
for img in images:
print(img)
filename = os.path.basename(img)
print(filename)
# prepend path again
source = os.path.join(directory,img)
target = os.path.join(destination_folder,img)
print(source, "=>", target)
# copyfile(source, target)
Output:
./main.py => C:/Users/Admin-dsc/Documents/.../Buses/main.py

img only contains the name of the image, not the complete path information.
Build an aboslute path instead when you specify the source image:
import os
source_folder = 'C:/Users/Admin-dsc/Documents/.../buses and motorcycles'
images = os.listdir(source_folder)
destination_folder = 'C:/Users/Admin-dsc/Documents/.../Buses'
for img in images:
filename = os.path.basename(img)
copyfile(os.path.join(source_folder, img), os.path.join(destination_folder, filename))

Resize multiple images in a folder (Python)

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)

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