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10 Clever and Creative Costumes for Halloween

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Every year, people amaze me not only with their ideas, but with their talent and dedication at bringing the best costumes to life for Halloween (and other occasions). I hope you enjoy these as much as I do!

1. Ecce Homo

When Cecilia Gimenez "restored" a Spanish fresco of Christ and rendered it more of a cartoon, she spawned an epic internet meme and therefore a Halloween costume. This one was made by redditor spinjump. See more pictures here.

2. Plastic Army Man

Rebekah Tennis made this costume for her son in 2011. He wanted to be an Army guy, but with a little work and a lot of green paint, he's a soldier straight out of Toy Story! She then posted the process of creating this costume.

3. Cherry Darling

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The character Cherry Darling from the movie Planet Terror startled folks when they saw that one of her legs was a machine gun. Then it inspired some women to recreate the scene. Now, if you are a beautiful amputee like Lacey Henderson, who gained note as a college cheerleader a few years ago, you can make hay by cosplaying the character at fan events. Henderson has a webpage with instructions for those who aren't amputees on how to recreate the Cherry Darling look, and an annual competition is held for the best machine-gun-leg costume. Photograph by Flickr user Cameron Yee.

4. Jack Skellington

DeviantART member Mnemousyne created this super-tall Jack Skellington costume by making a suit that fits over stilts. The head is built over a helmet, making it more stable, but still a bit hard to see from. Her sister is modeling the costume here; Mnemousyne is in the Sally costume.

5. Walter White

Walter White, the main character in the TV show Breaking Bad, is no role model, but a popular Halloween costume -especially after we saw him in a hazmat suit. I traced this one to Rob in Chicago, who won an online costume contest with his realistic version.

6. Weeping Angel

The Weeping Angel is a scary character from the Doctor Who episode "Blink." Livejournal user penwiper337 made this costume of the Weeping Angel to wear at DragonCon. You can follow the process of building it at her blog.

7. The Ginger Bread Man

The costume was created for a career day fair, but would work for Halloween if anyone took the time to think about the pun.

8. Dorian Gray and his Picture

Heather and David as Dorian Gray and his Picture

The party was literary-themed, so Heather and David came up with a couple's costume right out of the novel The Picture of Dorian Grey. Heather is Dorian, of course, and David is aged up and framed to be …his picture! Photograph by Flickr user Jason Adams.

9. Mousetrap

Jeff from Ohio told the story of how he made this mousetrap costume for his 3-year-old daughter. Being trapped is a very good excuse for not walking house to house, but a set of wheels got her there anyway! He cut the wood and mounted it to a wagon, welded on the metal hardware, and made the back half of the mouse to work as a cushion for the child's back. Adorable!

10. Pixar Lamp

YouTube member cmtification wore this Luxo Jr. costume for Halloween in 2010. The only information I can find out about him/her is that cmtification is 16 years old, that he/she made the costume him/herself. In part two of the video, we find out that, yes, the wearer can move the arms and feet separately when needed.

Previously:
8 Brilliant Halloween Costumes
10 Brilliant Halloween Costumes
10 Amazing Costumes for Halloween
Internet Meme Halloween Costumes
10 Awesome Homemade Halloween Costumes
Halloween Costumes to Inflict Upon the Innocent
Ten Epic Halloween Costumes
Our Readers’ Favorite Halloween Costumes

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iStock // Ekaterina Minaeva
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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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Nick Briggs/Comic Relief
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What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
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Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

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