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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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Apple, Startup Go To Trial Over 'Pod' Trademark

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Apple is scheduled to go to trial with a startup to fight over a three-letter word: Pod. The trademark battle centers on independent entrepreneur Daniel Kokin, founder of startup Sector Labs, and his video projector in development called Video Pod. Apple had previously filed oppositions against Kokin's usage of 'Pod,' alleging that it would cause customers to confuse it with Apple's iPod products. ... Names that have come under fire include MyPodder, TightPod, PodShow, and even Podium. Sector Labs is the only company to go to trial with Apple over using the 'Pod' branding. Ana Christian, Kokin's lawyer, says the fight is about more than allowing small businesses to use 'Pod' in their product names. She noted a trend in the tech industry, in which large corporations have been attempting to assume ownership of ordinary words.

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Efficient Duplicate Image Removal: Using ImageDeDup Python

By -
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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