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Home Android

AR Cut and Paste app lets you copy/paste real-world objects

May 4, 2020
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The AR Cut and Paste app.

Source: Cyril Diagne/Twitter

Computer vision and augmented reality technology has made amazing strides in the last few years. One of the coolest examples is Google Lens’s ability to copy real-world text and paste it into an app.

Now, a new AR Cut and Paste app by programmer Cyril Diagne (h/t: PhoneArena) shows the ability to take a snap of a real-world object, have it cut out of its background, and pasted into Photoshop.

4/10 – Cut & paste your surroundings to Photoshop

Code: https://t.co/cVddH3u3ik

Book: @HOLOmagazine
Garment: SS17 by @thekarentopacio
Type: Sainte Colombe by @MinetYoann @ProductionType
Technical Insights: ↓#ML #AR #AI #AIUX #Adobe #Photoshop pic.twitter.com/LkTBe0t0rF

— Cyril Diagne (@cyrildiagne) May 3, 2020

The video shows the programmer taking a snap of various objects (such as books and plants) and then adding it into a project he’s working on. It’s not exactly instantaneous, as Diagne says it takes roughly 2.5 seconds to cut and four seconds to paste. But he adds that there are plenty of ways to speed things up and that the project took place over a weekend.

related article

10 best augmented reality apps and AR apps for Android!

Augmented Reality (AR) can be fun technology to play with. The basic premise of AR is to overlay digital content on top of real things using something like a map, a camera, or sometimes the …

It all makes for an extremely slick demonstration anyway, but it does come with other caveats. For one, this is merely a prototype right now rather than a commercially available app. It also requires Photoshop on your PC and the creation of a local server to link the app to Photoshop on your computer. However, Diagne notes that it might support more than just Photoshop in the future.

In any event, AR Cut and Paste is still an impressive use of machine learning and computer vision. And this could be handy for presentations and image editing, taking a ton of manual work out of the process.

You can check out the instructions and more via the GitHub page for the project over here. Otherwise, you can also check out more AR stories via our list below.

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