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:\\Lazyroar\\images" # path of the folder that will contain the modified image outPath = "E:\\Lazyroar\\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 :
Output :
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