Connect with us

Tech News

New AR tech makes putting images into Photoshop a breeze

(TECH NEWS) AR cut-and-paste allows users to cut images of real-world objects to paste directly into Photoshop cutting down on file conversions and editing.

Published

on

photoshop

Have you ever needed to insert an image of something in real life into a file online? Duh, what is this, computers for beginners? Well, no longer will that process require taking a cell phone photo, texting or emailing it to myself, converting the file type, and copy-and-pasting or inserting the image. I’m already exhausted by how so very 2019 all that fuss sounds.

A new augmented reality demo going viral on Twitter and GitHub demonstrates an application that can cut-and-paste real life images into a computer program, taking a ton of manual effort out of the process of image editing.

The demo shows a person taking a photo on an Android phone of a household object, like a notebook or a plant, which then creates an isolated image of that object with the background removed. The camera then points to photoshop on a Mac laptop and “pastes” the image into the program. Though there are a few seconds of delay between each action, the result is remarkable.

Cyril Diagne on Twitter

The secret sauce here is BASNet (Qin et al, CVPR 2019) for salient object detection and background removal. The accuracy and range of this model are stunning and there are many nice use cases so I packaged it as a micro-service / docker image: https://t.co/jbAmO89cRy

The app was created by programmer-in-residence at the Google Arts & Culture Lab in Paris Cyril Diagne. The 34-year-old artist and designer created the app for fun and didn’t expect the enthusiastic reaction from the Internet that it got. “It’s part of a series of experiments I’m doing every weekend to explore how machine learning and AI can help create more digital interactions that are more natural. Basically using the algorithm’s ‘intelligence’ to remove the layers of abstractions we had to build in digital interfaces up to now,” Diagne told Cult of Mac.

Diagne explained on Twitter that BASNet is the critical technology that reads the edges of an object and separates it from its surroundings. OpenCV SIFT tracks where the cell phone camera is pointing to find the object for to cut.

Of course, the application is still a prototype and at the moment only works with Photoshop. It also requires creating a local server to link the app to Photoshop.

This is not the first application to cut-and-paste real world images either; Google Lens started offering similar technology to cut-and-paste images of text in 2018. Nonetheless, using AR and computer learning to create and move images in a matter of seconds is a simple and elegant solution to a common technological challenge. Interested users can get started with the demo using the instructions on GitHub.

Heather Buffo is a Cleveland native, a recovering Bostonian, and an Austin newbie. Heather is the Venture Growth & Partnerships Lead at Republic where she works with partners in private investing to democratize access to capital for entrepreneurs. Heather studied neurobiology at Harvard University, and is a City Year Boston AmeriCorps alum. She likes to write for AG, drink Austin beer, and ride around town on her road bicycle. His name is Pippin. Say hello if you see them.

Tech News

Airbnb has blocked 50K+ bookings for being too big during COVID-19

(NEWS) Airbnb has cancelled a huge number of reservations as a security precaution during COVID-19 in the past year or so.

Published

on

airbnb

In the last year or so, Airbnb has purposefully prevented at least 50,000 people from making irresponsible reservations on their properties, in many cases blocking those people from the platform itself. This prevention, at least in theory, helped cut down on the number of COVID parties during the pandemic.

According to The Verge, Airbnb’s head of trust and safety communication, Ben Breit, acknowledged blocked reservations in several cities across the United States, including Dallas, San Diego, and New Orleans. Breit confirmed that this response was an attempt to prevent large gatherings and parties during the height of the COVID-19 pandemic during which many areas banned group activities involving more than a few people.

While some requests for reservations were simply denied or “redirected”, many users were blocked from using Airbnb entirely. Airbnb noted that the number of blocked requests outpaced the number of people who were blocked, signifying that some accounts attempted to make more than one reservation before being removed from the platform.
Airbnb reportedly stated that “Instituting a global ban on parties and events is in the best interest of public health” prior to enacting a total ban on rentals at the beginning of 2020, a decision that gave way to the blocks and redirections in the last 12 months.

The evaluation system used to flag problematic reservations is relatively simple, according to Breit: “If you are under the age of 25 and you don’t have a history of positive reviews, we will not allow you to book an entire home listing local to where you live.”

But Airbnb didn’t entirely remove multiple-body listings or large rentals. The Verge reports that flagged users with the aforementioned criteria were still able to book both small rentals in local locations and larger rentals in reasonably distant locations.

Regardless of the optics here, Airbnb’s policy efficacy can’t be ignored. Multiple cities reported comparatively “quiet” holiday seasons–something that may contribute to Airbnb’s decision to extend their policy through the end of this summer.

The hosting company is also offering increased security measures, such as noise detection and a 24-hour hotline, at a discounted rate to property owners.

As both the vaccine gap and the proliferation of the Delta variant of COVID-19 continue to contribute to outbreaks, one can reasonably expect Airbnb to hold to this policy.

Continue Reading

Tech News

TL;DV summarizes video meetings so folks can catch up in quickly *with* context

(TECHNOLOGY) TL;DV makes catching up on video team meetings slightly more tolerable and easily digestable.

Published

on

TLDV

2021 was the year of virtual meetings, and while there are some perks associated with remote collaboration (I’m looking at you, pair of work pants that I didn’t have to wear once this year), these meetings often feel exponentially more arduous than their dressed-up counterparts. TL;DV, a consolidation app for Google Meet, looks to give back a bit of your time.

TL;DV (an acronym for “Too Long; Didn’t View”) is a Google Chrome recording extension that helps users specify important sections of meetings for anyone who needs to view them asynchronously. Users can tag specific segments in Google Meet sessions, transcribe audio, and leave notes above tagged sections for timestamp purposes, and the subsequent file can be shared via a host of both Google and third-party apps.

While the extension is only available for Google Meet at the time of writing, the TL;DV team has included a link to a survey for Zoom and MS Teams users on their site, thus implying that the team is looking into expanding into those platforms in the future.

The mission behind TL;DV is, according to the website, to empower users to “control how we spend our precious time” in the interest of combatting FOMO and meeting fatigue. By dramatically shortening the amount of time one must spend perusing a meeting recording, they seem well on their way to doing so.

Of course, the issue of human oversight remains. It seems likely that meeting facilitators will drop the ball here and there while tagging sections of the recording, and employees who miss crucial information in a recorded session are sure to be frustrated in the process–just not as frustrated as they might be if they attended the entire meeting live.

The current (free) version of TL;DV is in Beta, so users will have a three-hour cap on their videos. The development team promises a professional version by the end of 2021, with the added bonus of leaving prior recordings available for free for anyone who used the Beta. This is certainly an extension to keep an eye on–whether or not you’re remaining remote in 2022, virtual conferencing is no doubt here to stay.

Continue Reading

Tech News

Hiding from facial recognition is a booming business

(TECH NEWS) ‘Cloaking’ is the new way to hide your face. Companies are making big money designing cloaking apps that thwart your features by adding a layer of make up, clothing, blurring, and even transforming you into your favorite celebrity.

Published

on

Facial recognition companies and those who seek to thwart them are currently locked in a grand game of cat and mouse. Though it’s been relentlessly pursued by police, politicians, and technocrats alike, the increasing use of facial recognition technology in public spaces, workplaces, and housing complexes remains a widely unpopular phenomenon.

So it’s no surprise that there is big money to be made in the field of “cloaking,” or dodging facial recognition tech – particularly during COVID times while facial coverings are, literally, in fashion.

Take Fawkes, a cloaking app designed by researchers at the University of Chicago. It is named for Guy Fawkes, the 17th century English revolutionary whose likeness was popularized as a symbol of anonymity, and solidarity in V For Vendetta.

Fawkes works by subtly overlaying a celebrity’s facial information over your selfies at the pixel level. To your friends, the changes will go completely unnoticed, but to an artificial intelligence trying to identify your face, you’d theoretically look just like Beyonce.

Fawkes isn’t available to the general public yet, but if you’re looking for strategies to fly under the radar of facial recognition, don’t fret; it is just one example of the ways in which cloaking has entered the mainstream.

Other forms of cloaking have emerged in the forms of Tik Tok makeup trends, clothes that confuse recognition algorithms, tools that automatically blur identifying features on the face, and much more. Since effective facial recognition relies on having as much information about human faces as possible, cloaking enthusiasts like Ben Zhao, Professor of computer science at the University of Chicago and co-developer of Fawkes, hope to make facial recognition less effective against the rest of the population too. In an interview with The New York Times, Zhao asserts, “our [team’s] goal is to make Clearview [AI] go away.”

For the uninitiated, Clearview AI is a start-up that recently became infamous for scraping billions of public photos from the internet and privately using them to build the database for a law enforcement facial recognition tool.

The CEO of Clearview, Hoan Ton-That, claimed that the tool would only be improved by these workarounds and that in long run, cloaking is futile. If that sounds like supervillain talk, you might see why he’s earned himself a reputation similar to the likes of Martin Shkreli or Ajit Pai with his company’s uniquely aggressive approach to data harvesting.

It all feels like the beginning of a cyberpunk western: a story of man vs. machine. The deck is stacked, the rules are undecided, and the world is watching. But so far, you can rest assured that no algorithm has completely outsmarted our own eyeballs… yet.

Continue Reading

Our Great Partners

The
American Genius
news neatly in your inbox

Subscribe to our mailing list for news sent straight to your email inbox.

Emerging Stories

Get The American Genius
neatly in your inbox

Subscribe to get business and tech updates, breaking stories, and more!