In my dataset, I have three main folders named Train, Test, and Val. Each of these folders contains over 100 subfolders. My goal is to only keep a maximum of 90 images in each folder. If a particular subfolder has more than 90 images, I need to delete the extra images.
| dataset
| |
| | Train
| | |
| | | Folder (1 of 112)
| | | |
| | | | Images
Below is a concise example that showcases how to manipulate files in Python:
import os
if __name__ == "__main":
for (root,dirs,files) in os.walk('.', topdown=True):
print (root)
print (dirs)
print (files)
print ('--------------------------------')
In this code snippet, you can input the path you want to search for and retrieve the files stored at that location as a tuple of filenames. You can determine the number of files found by using the len() function. If the count exceeds 90, an if statement will remove all files above index 90.
file_length=len(files)
if file_length>90:
for i in range(91,file_length):
os.remove(files[i])
The code snippet also demonstrates how to properly delete files using the os.remove() function within a loop. It is important to ensure the correct path is specified before deleting a file, such as using os.remove("images//"+files[i]) within the loop when targeting files within the images directory.
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