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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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Firefox Arrives On Android

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Mozilla has launched a 'pre-alpha' version of Firefox for Android smartphones. The mobile version of Firefox, codenamed Fennec, has until now been restricted to Maemo Linux handsets. But following a surge in developer effort, Mozilla has unveiled a build for handsets running Android 2.0 or above. Mozilla is making no guarantees about the browser's stability. 'It will likely not eat your phone, but bugs might cause your phone to stop responding, requiring a reboot,' writes Mozilla developer Vladimir Vukicevic on his blog. 'Memory usage of this build isn't great — in many ways it's a debug build, and we haven't really done a lot of optimization yet. This could cause some problems with large pages, especially on low memory devices like the Droid.

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Entity Attribute Value Model

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EAV (Entity-Attribute Value) Model It is a data model to describe entities where number of attributes for the entities could be very large in amount. EAV helps us to overcome the limitations of conventional database model. Ex: Organization ‘ABC’ defines the entity ‘Address’ as: Organization ‘ABC’: Address Line1 Line2 State Country Zip                    At the same time Organization ‘XYZ’ may define ‘Address’ as: Organization ‘XYZ’: Address Line1 Line2 Line3 City State Country Zip Phone A conventional database table design (one fact per column or set of facts per row) is unsuitable for such type of data, because of: ·         the need to continually add new tables or columns whenever new facts need incorporation · ...
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