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Efficient Duplicate Image Removal: Using ImageDeDup Python

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...

"Fabric " An All new Programming Language to weave security into Code...

Until now, computer security has been reactive. 'Our defenses improve only after they have been successfully penetrated,' says security expert Fred Schneider. But now Dr. Dobb's reports that researchers at Cornell are developing a programming platform called 'Fabric,' an extension to the Java language that builds security into a program as it is written. Fabric is designed to create secure systems for distributed computing, where many interconnected nodes — not all of them necessarily trustworthy — are involved, as in systems that move money around or maintain medical records. Everything in Fabric is an 'object' labeled with a set of policies on how and by whom data can be accessed and what operations can be performed on it. Even blocks of program code have built-in policies about when and where they can be run. The compiler enforces the security policies and will not allow the programmer to write insecure code (PDF). The initial release of Fabric is now available at the Cornell website.


Links:


http://www.cs.cornell.edu/projects/fabric/index.html


http://www.drdobbs.com/java/227900404;jsessionid=RYPNQLVLNBPWPQE1GHPSKHWATMY32JVN

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