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Efficient Duplicate Image Removal: Using ImageDeDup Python

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Efficient Duplicate Image Removal: A Python Guide In this blog post, we will walk you through the process of identifying and removing duplicate images from your directories using Python. We will leverage perceptual hashing to find similar images and delete duplicates while keeping the largest file in the group. This solution is perfect for users who want to save disk space and keep their image collections organized. Why You Should Use This Code Over time, especially when dealing with large collections of images, duplicate files can accumulate. These duplicates take up unnecessary space on your system. Manually sifting through these images can be tedious, but with the help of Python, perceptual hashing, and concurrent processing, this task becomes much easier. Benefits: Efficient Duplicate Detection : By using perceptual hashing (PHash), the code compares images based on their v...
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Want to create editable PDF??...Follow>>>>

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Want to create an EDITABLE PDF using the FREE Adobe Reader program?

 This is the link to Adobe Reader file for instructors so they could create editable and savable assignments for online courses:
http://upload.wikimedia.org/wikipedia/commons/4/44/PDF_Assignment_Builder1.pdf.

Watch this video to see how to use it.



Or follow these steps:

1. Open the file in Adobe Reader.

2. Click on the text field and paste text from any word processor or text editor into the text field--or just start typing.

3. Click anywhere outside the text field. The file will dynamically generate the pages needed to hold your content.

4. Save a renamed copy.

You now have a file that anyone can open in Adobe Reader, add new text to and/or edit the existing text, and save the changes when they are done.

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Efficient Duplicate Image Removal: Using ImageDeDup Python

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