Deleting many images can be extremely slow, as it tries to update the result count at every delete.Īll three of these tools find visual duplicates, not just files that are identical byte for byte. Load up the output from that into Python and create a dictionary where the key is the checksum and the value is a list of file names with that checksum. It unfortunately does not provide an automatic selection mechanism with rational criteria, such as resolution, date or whatever, the automatic selection seems to just randomly just pick the first image found as the reference to preserve. Photo deduplication, remove duplicates, In the past I’ve written one in Python - calculate a md5 checksum of everything using something like fciv. Even then, it does not work perfectly at least for some kinds of images, like line-art. The "custom" level of similarity allows restricting pairings only to the highest degree of similarity, but it has to be set on Preferences as 99. For visual comparison of images, there are specific, non-default options on a drop-down menu. You can drop directories to add their contents recursively.
Drag and drop image files do the duplicates window.
In the menu, select File / Find duplicate. Pass all the images you want to compare on the command line. If you’re like me, from time to time you’ve encountered the problem of duplicate photos. This will look for duplicates across your whole collection. In the menu, select Tools / Find duplicates.
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