![]() This function will create a tensor for each image our algorithm finds in a specific folder. A matrix therefore is a 2-dimensional tensor. A tensor is a container which can hold data in N dimensions. Those of you that are familiar with machine learning and computer vision may already know that images can be translated into matrices, or more precisely into a tensor. In order to compare images to one another, we need to somehow translate them into comparable, computer-readable i. ![]() □ 1 | In Theory: Translating Images to Numeric Data View the difPy project on GitHub and on PyPi. In today’s article, I will go through the process of writing a Python 3.8 script for the automated search for duplicate images in a folder on your local computer. That’s when I thought: let’s automate this process. ![]() Furthermore, some images may be easily classifiable as being duplicates at first look, but some images may need precise checking and may also result in you deleting images, that in reality were no duplicates. Especially, as mentioned above, if you have to go through thousands of images. ![]() I have found myself in this scenario quite a few times. Did you ever find yourself in the situation of going through hundreds, maybe even thousands of images, only to realize that some actually look a bit “ too similar”? Could they be duplicates? Then you probably checked both image resolutions, to then delete the one having the lowest. ![]()
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