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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...

IE9 Throws Down the Hardware Acceleration Gauntlet

Over on Microsoft's IE blog they have an interesting comparison of browsers with regard to hardware accelerated page rendering. They write, 'One of our objectives with Internet Explorer 9 is taking full advantage of modern PC hardware to make the browser faster. We're excited about hardware acceleration because it fundamentally improves the performance of websites. The websites that you use every day become faster and more responsive, and developers can create new classes of web applications through standards based markup that were previously not possible. In this post, we take a closer look at how hardware acceleration improves the performance of the Flying Images sample on the IE9 test drive site. When you run Flying Images across different browsers you'll see that Internet Explorer 9 can handle hundreds of images at full speed while other browsers, including Internet Explorer 8, quickly come to a crawl.' Absent from the comparison is a nightly build of Firefox with Mozilla's forthcoming Direct2D acceleration enabled.

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