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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 Patents Directional Flash Tech For Cameras

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A patent application has surfaced that shows Apple's attempts at creating a new way for a flash to work on a camera. The way the new flash works is very intriguing: a user can select a dimly lit area of the photo and the camera will try to illuminate just that area with the flash. The way Apple is attempting to accomplish this is similar to the way the autofocus works on the iPhone 4 where you can touch the screen in certain areas to focus on that area. Instead you will be able to light up that area with the flash. This is accomplished by the camera flash passing through a 'redirector' so the flash can be placed other than directly centered when a photo is taken.

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