Photo deduplicator4/10/2023 ![]() ![]() The solution Uber Eats implemented was deployed across the system rather than on a per vendor basis. High-Level Control Flow Logic and Maps for Deduplicating Images If the image is new, download and make sure it’s a valid image then reformat and scale to the standard size. The High-Level Solution: After an image URL is uploaded by a vendor, implement logic that determines if the URL exists in the database by checking against the images in the database. Imagine needing to change one image, uploading the whole menu, only to realize that the URL wasn’t changed. This kept everything very store and merchant specific. Every upload required a full menu upload and the system knew a certain image needed to be re-downloaded by a required URL change. The Old System: The old system saved a lot of photos of Diet Coke and it sounded like a nightmare for the less tech-savvy restauranteers that rely on Uber Eats. Implement a logic and caching system that not only removes duplicates across vendors but also alleviates the need to process images more than once.” It wants to reduce storage costs and improve latency but can’t scrub images across vendors with the image system currently in place. The Prompt: Uber Eats has too many images on its storage. It’s a hash structures problem straight out of the LeetCode code practice site. It was hard to draw the full conclusion at first because the tech breakdown was so interesting but after a few reads, it was quite simple. “This full system was developed and completely rolled out in the course of less than two months, which improved the latency and reliability of the image service and unblocked projects on our new catalog API development,” noted Uber Software Engineer Kristoffer Andersen in a blog post. And the solution very much reads like a LeetCode problem. Given the services serves millions of images to end users every day, the savings in resources is considerable. Sony RAW( *.arw, *.By implementing a basic hash map and control flow logic structure, popular food delivery service Uber Eats has created a content-addressable caching layer that cuts the number of unique images sent out to 1% of what was previously delivered by its servers. ![]() Nikon RAW( *.nef - only, *.nrw is not supported yet).Leaf RAW( *.mos - verified on Aptus 22, Aptus 75 doesn't work).Kodak RAW( *.kdc - verified on Kodak DC50, DC120.Canon RAW( *.cr2 - only, *.crw is not supported yet).Both of macOS and Windows are supported.Minimal requirement is Adobe Lightroom CC 2015/6.0 the latest Adobe Lightroom Classic CC version.How it works insideĭeduplicator plug-in relies on imgsum to calculate This will check GitHub if there's a new release and suggest you to check it out. NOTE: the plugin takes selection or all photos if Plug-in Extras -> Check for updates The plugin will start to check all the available images in your catalog this could take a while.Īfter the process would be completed the Deduplicator will put all the supposed duplicates to Duplicates collection created on top level of collections tree. Library -> Plug-in Extras -> Find duplicates Usually for plugins is used ~/Library/Application\ Support/Adobe/Lightroom/Plugins/ or something like that. NOTE: Since Adobe Lightroom Classic CC doesn't copy plug-in files on installation to any safe place, you normally should choose a place your not going to delete plug-in file from. Installationĭownload the latest release from GitHub Releases page and unzip it.įile -> Plug-in Manager -> Add -> Deduplicator is a Adobe Lightroom Classic CC plug-in to deduplicate photos in catalog based ![]()
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