Skip to content
Related Articles

Related Articles

Improve Article

Apply changes to all the images in given folder – Using Python PIL

  • Last Updated : 21 Nov, 2019

Given a dataset of raw images, which usually need some pre-processing, which one person has to do physically. It is generally a task that requires some repetitive operation to perform for each image. Well, we can easily automate this process using some simple Python code and some libraries with it. So without further adieu, let’s see how to apply changes to all the images in given folder and save it to some destination folder using Python PIL.

Let’s install all the required modules –

pip3 install pillow
pip3 install os-sys

We will be parsing all the images in the folder to apply changes/operations to all of them simultaneously.




# Code to apply operations on all the images
# present in a folder one by one
# operations such as rotating, cropping, 
from PIL import Image
from PIL import ImageFilter
import os
  
def main():
    # path of the folder containing the raw images
    inPath ="E:\\GeeksforGeeks\\images"
  
    # path of the folder that will contain the modified image
    outPath ="E:\\GeeksforGeeks\\images_rotated"
  
    for imagePath in os.listdir(inPath):
        # imagePath contains name of the image 
        inputPath = os.path.join(inPath, imagePath)
  
        # inputPath contains the full directory name
        img = Image.open(inputPath)
  
        fullOutPath = os.path.join(outPath, 'invert_'+imagePath)
        # fullOutPath contains the path of the output
        # image that needs to be generated
        img.rotate(90).save(fullOutPath)
  
        print(fullOutPath)
  
# Driver Function
if __name__ == '__main__':
    main()

Sample images from the folder –

Input :

image_sample1



Output :

invert_image_sample1


 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :