![]() You can also merge similar folders or any two folders into a new folder.ĭuplicate File Finder Pro is not only a duplicate file remover but also a duplicate file organizer. You can also protect important files from being deleted accidentally by adding them to the Protect Folders tab. ![]() Once you have selected the duplicates you want to remove, you can either move them to the recycle bin or permanently delete them. You can also use the built-in image viewer to view the pictures side-by-side and the selection assistant to mark files by groups, dates, drives, folders, and more. You can preview the duplicates by category, name, count, path, size, and more. It can also find similar audio files and compare folders for similarities. The end result is you can do things like say SELECT dbid FROM )Īnd get meaninful results in a few (tens to hundred) milliseconds.Duplicate File Finder Pro uses intelligent algorithms to identify all types of duplicate files, regardless of their file name and file format. Prior to figuring out how to implement custom indexes in postgres, I had done the whole thing as a out-of-database index, and maintaining sunchronization is a major pain in the ass. ![]() It's somewhat slower (~about 1/2 - 1/4 as fast) then the C++ implementation I did linked above, but it's way, WAY more convenent - enough so that I don't care about the performance hit. What the postgres extension does is push the BK-tree down into the database itself. In this case, it's a BK Tree ( more here) ( C++ implementation here)). There are certain specialized data structures you can use for making queries like this a lot more performant. Now, this is simple enough to calculate for just 2 images (xor, count '1' bits in bitfield (POPCNT - Ayoooo SSE4), doing searches within a specific edit distance is where it gets harder, because you generally want to do something like "find all images within an edit distance of 4 of this hash". Most phash operations return something like a n-bit bitfield, where the effective similarity of two phashes is the hamming edit distance between the two image phashes in question. Just make sure to tag the post with the flair and give a little background info/context.įWIW, the important bit is the postgres extension, and therefore language agnostic (as long as your language of choice has a PostgreSQL driver).īasically, the core of fuzzy image searching is to generate what's known as a "perceptual hash" of an image, and then you can compare the similarity of images by operations on the (much, much smaller) phash. On Fridays we'll allow posts that don't normally fit in the usual data-hoarding theme, including posts that would usually be removed by rule 4: “No memes or 'look at this '” We are not your personal archival army.No unapproved sale threads, advertisement posts, or giveaways.No memes or 'look at this old storage medium/ connection speed/purchase' (except on Free Post Fridays).Search the Internet, this subreddit and our wiki before posting.R/DataHorader 2013-2023 Searchable Archives Historic Reddit Archives & Download Tools, Etc.ģ.3v Pin Reset Directions :D / Alt Imgur link And we're trying really hard not to forget. Along the way we have sought out like-minded individuals to exchange strategies, war stories, and cautionary tales of failures. ![]() Everyone has their reasons for curating the data they have decided to keep (either forever or For A Damn Long Timetm). government or corporate espionage), cultural and familial archivists, internet collapse preppers, and people who do it themselves so they're sure it's done right. Among us are represented the various reasons to keep data - legal requirements, competitive requirements, uncertainty of permanence of cloud services, distaste for transmitting your data externally (e.g.
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