What Does Awesome Duplicate Photo Finder Do? jsonBuy Now Part 1: Awesome Duplicate Photo Finder Reviewsġ. The output of difPy is then written to files and saved in the working directory, where "xxx" in the output filesnames is a unique timestamp: difPy_results_xxx. match groups) that were found, where the keys are a randomly generated unique id for each image file: search. OutputĭifPy returns various types of output that you may use depending on your use case:Ī JSON formatted collection of duplicates/similar images (i. To search for duplicates within multiple folders: from difPy import dif search = dif ()įolder paths can be specified as standalone Python strings, or within a list. To make difPy search for duplicates within one folder: from difPy import dif search = dif ( "C:/Path/to/Folder/" ) the image content - this allows difPy to not only search for duplicate images, but also for similar images. It compares them based on their tensors i. You can then either delete them manually, or let difPy delete them for you.ĭifPy does not compare images based on their hashes. It then outputs the image files classified as duplicates as well as the images having the lowest resolutions, so you know which of the duplicate images are safe to be deleted. Read more on how the algorithm of difPy works in my Medium article Finding Duplicate Images with Python.įor a detailed usage guide, please view the official difPy Usage Documentation.ĭifPy searches for images in one or more different folders, compares the images it found and checks whether these are duplicates. The Duplicate Image Finder (difPy) Python package automates this task for you! Tired of going through all images in a folder and comparing them manually to check if they are duplicates?
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