![]() There are a few options associated with find. This will find images that have the same hash stored in the database. This can be done by either cloning the repository or downloading the script.ĭuplicate_finder.py find įinds duplicate pictures that have been hashed. These steps assume that MongoDB is already installed on the system.įirst, install this script. I suggest you read the usage, but here are the steps to get started right away. This script requires MongoDB, Python 3.4 or higher, and a few Python modules, as found in requirements.txt. This script has only been tested with Python 3 and is still pretty rough around the edges. You have been warned! I hold no responsibility for any family memories that might be lost because of this script. This script is a great starting point for cleaning your photo library of duplicate pictures, but make sure you look at the pictures before you delete them. I have found that duplicate pictures sometimes have different hashes and similar (but not the same) pictures have the same hash. If you are feeling lucky, there is an option to automatically delete duplicate files.Īs a word of caution, pHash is not perfect. A web interface is provided to delete duplicate images easily. If the hash is the same between two images, then they are marked as duplicates. ![]() To find duplicate images, hashes are compared. ![]() This script hashes images added to it, storing the hash into a database (MongoDB). This allows you to find duplicate pictures that have been rotated, have changed metadata, and slightly edited. ![]() pHash ignores the image size and file size and instead creates a hash based on the pixels of the image. This Python script finds duplicate images using a perspective hash (pHash) to compare images. ![]()
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