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Art-World Prodigy: Honoré Sharrer

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Honoré Sharrer (1920-2009) passed away at age 88 a month ago, on April 17, but her death was only announced by her family last week. The American artist is best known for her "Tribute to the American Working People" polyptych. Her style has been described as "magic realism."

1. Honoré Sharrer was born at West Point, NY, where her Army officer father was stationed. Twenty-four years later, in 1944, Sharrer returned to West Point to paint a mural in the Thayer Hotel.

2. At age 18, Sharrer took first place in the graphic-arts category of nationwide contest sponsored by The American. The following year, she became the youngest artist to participate in the Golden Gate Exposition, which also included Thomas Hart Benton and Edward Hopper. By 1951, when her first solo exhibition was mounted at Knoedler Gallery, she was widely heralded as an "art-world prodigy."

3. "Tribute to the American Working People" is considered Sharrer's "masterwork." The 6 foot by 3 foot, 5-image polyptych took Sharrer 5 years to complete. Three weeks of that time was spent on just the moldings of a factory building. Sharrer exhausted about 225 delicate paintbrushes on the large work, which includes portraits of 72 blue-collar figures.

4. For Sharrer, 1943 was a busy year. She moved from California to New Jersey, working as a welder in shipyards in Hoboken during World War II. She also created department store window designs and storyboard sketches for an animated film company.

5. Sharrer got an early start on her art education—her mother, Madeleine Sachs, was a painter and gave Sharrer her first painting lessons. Later, Sharrer studied at Yale University's School of Art and the California School of Fine Arts. She withdrew from Yale after just one year, though, and spent a similarly short period of time at the California School of Fine Arts.

A larger version of Honoré Sharrer's "Reception" is available here.

Fans should check out the Sharrer online exhibition from the Spanierman Gallery; the collection of Sharrer works in the Smithsonian's Archives of American Art; and the Smithsonian's anatomy of Sharrer's "Tribute to the American Working People," including the interactive highlight and interview with Sharrer's husband.

"Feel Art Again" appears every Tuesday, Thursday, and Saturday. You can e-mail us at with details of current exhibitions, for sources or further reading, or to suggest artists.

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iStock // Ekaterina Minaeva
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Opening Ceremony
These $425 Jeans Can Turn Into Jorts
May 19, 2017
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Opening Ceremony

Modular clothing used to consist of something simple, like a reversible jacket. Today, it’s a $425 pair of detachable jeans.

Apparel retailer Opening Ceremony recently debuted a pair of “2 in 1 Y/Project” trousers that look fairly peculiar. The legs are held to the crotch by a pair of loops, creating a disjointed C-3PO effect. Undo the loops and you can now remove the legs entirely, leaving a pair of jean shorts in their wake. The result goes from this:


Opening Ceremony

To this:


Opening Ceremony

The company also offers a slightly different cut with button tabs in black for $460. If these aren’t audacious enough for you, the Y/Project line includes jumpsuits with removable legs and garter-equipped jeans.

[h/t Mashable]