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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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AMD Coming UP with its Fusion Processor(Combination of CPU and GPU)

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At Computex 2010 AMD gave the first public demonstration of its Fusion processor, which combines the Central Processing Unit (CPU) and Graphics Processing Unit (GPU) on a single chip. The AMD Fusion family of Accelerated Processing Units not only adds another acronym to the computer lexicon, but ushers is what AMD says is a significant shift in processor architecture and capabilities. Many of the improvements stem from eliminating the chip-to-chip linkage that adds latency to memory operations and consumes power — moving electrons across a chip takes less energy than moving these same electrons between two chips. The co-location of all key elements on one chip also allows a holistic approach to power management of the APU. Various parts of the chip can be powered up or down depending on workloads.

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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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