/fa/ - Fashion

Dress to Impress

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Welcome to /fa/ /fa/scist 10/29/2019 (Tue) 00:00:14 No. 1 [Reply]
Welcome to anon.cafe/fa/
This board is for fashion of any and all varieties. Try to keep off topic posts to a single thread.

Global rules apply
Don't forget to dress your best!

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effay /fa/g 11/30/2019 (Sat) 08:36:54 No.25 [Reply] [Last]
edit: WAYWT
Edited last time by anon on 12/23/2019 (Mon) 19:59:15.
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>>190 I like the concept, but dislike brand indicators, still better than seeing a persons face. There should be a law that demands obscuring your face with a mask or veil when going into public. People are ugly things, both on the inside and outside, its best not to see them at all. Islam is kinda going in the right direction with this, but for homosexual reasons, they only want women faces obscured and the execution is poor too, they mostly use same garbage bag deign while an expressive mask would be much more interesting to look at.
>>197 That's an interesting opinion
>>197 >Islam is kinda going in the right direction with this, but for homosexual reasons It's pretty cucked to let other men see your wife, let's be real
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>>199 Its cucked to let other men see your wife, but what about your camel, donkey or goat? I think there is a great untapped market in islamic world for covers like in pic related. Just needs some minor improvements, like one hole for the eyes and one more for easy access to the rear.
>>200 >one more for easy access to the rear. That's where the feet come out

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OBSCURE SHOES /fa/g 03/03/2020 (Tue) 06:21:09 No.136 [Reply] [Last]
tight shit only look at these Tommy's
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>>142 Them shoes are nice
>>142 Thinking of going full PPEcore boys
it's all fun and games until SHTF and you're a walking flare
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>>194 #vorecore

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/fa/g 03/27/2020 (Fri) 07:06:03 No.159 [Reply] [Last]
a message is mandatory
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hobo style
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/fa/g 05/12/2020 (Tue) 23:25:03 No.177 [Reply] [Last]
Researchers at Northwestern University have developed a garment designed to confuse digital surveillance algorithms into thinking you don’t exist >Normally, surveillance algorithms work by recognising a characteristic in an image, drawing a ‘bounding box’ around it, and assigning a label to that object. To interrupt this, the t-shirt uses colourful, pixelated patterns to confuse the technology into thinking you don’t exist. In other words, the clusters of pixels are placed to confuse the AI’s classification and labelling system, making it harder for it to map out your facial features. >“For the physical attacks, the real challenge is to remain undetected during the whole video duration,” says Battista Biggio, assistant professor at the University of Cagliari, and creator of the first adversarial example, which was successful in fooling spam email detection. “When detection is running in every frame, remaining consistently undetected is much harder.” >The researchers recorded a person walking while wearing a checkerboard pattern and tracked the corners of each of the board’s squares in order to accurately map out how it wrinkles when the person moves. Using this technique improved the ability to evade detection from 27 per cent to 63 per cent against YOLOv2, and from 11 per cent to 52 per cent against Faster R-CNN. >However, Lin says it’s unlikely that we’ll see these T-shirts in the real world. “We still have difficulties in making it work in the real world because there’s that strong assumption that we know everything about the detection algorithm,” she explains. “It’s not perfect, so there may be problems here or there.” >In fact, the researchers don’t actually want to help people evade surveillance technology at all. Instead, Lin says that the team’s ultimate goal is to find holes in neural networks so that surveillance firms can fix them, rather than to assist people in avoiding detection. “In the future, hopefully we can fix these problems, so the deep learning systems can’t be tricked.” tl;dr Make pixelated, bright colored, headache inducing shirts to avoid face detection. The people who are working on this aren't going to do it for you. They want to be able to detect you no matter what.
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>>179 One of the guys on /ita/ works at a custom shirt manufacturer, you could ask them there
>>181 Thanks for the tip. First things first, though. Need to solidify the design and have it available at full quality to give to whomever it is that will ultimately print it. Once a solid design is had it will be easier to spread for anyone to make or alter as they see fit
>>182 Actually I haven't read all of what you posted, but I've worked for quite a while with this stuff and I can share some thoughts with you. Most likely facial recognition software uses a mix between real time classification (individual features like eyes, mouths etc.) and semantic segmentation (tracing an entire object as it moves through frames of a video like a CCTV feed as its own entity, i.e. figuring out two different people who are walking side by side) . The way these systems are trained (assuming they're Convolutional Neural Networks) is by >taking a huge amount of input data (generally speaking, big govts use social media apps to grab as many photos of people's faces, then a good chunk of them are analyzed and their overall class and/or features are marked by hand by a human specialist), >making the filters of said convnet learn the basic features of the pictures (to make it as babby simple as possible, think of a table: the first layer of filters analyzes all areas of high contrast in a picture, like sudden horizontal and vertical changes, which correspond to the base and the legs of a table; the second layer MIXES said basic filter outputs, i.e. it can find the CORNERS of the table; the third layer might find rounder creases on the wooden fillings of the table and so on and so forth), and >tuning the non-trainable parameters of the model to better fit to the problem at hand, which is to say, trying to fix eventual errors (or False Positives/Negatives for a given class or segment). Now, why did I have to type all this technological mumbo jumbo? Because at its core, the way these surveillance systems work is by being slightly more advanced neural networks with a human overseer to spot non-trivial features (for instance a human is needed to be able to tell a picture on an advertisement poster compared to a real life human posing near it). One way to trick the artificial aspect of the systems is, you guessed it, creating artificial contrast. Anti-surveillance makeup you see popping up from time to time in cyberpunk flicks are meant to do just that (usually they're straight black lines over the most important features like mouths or eyes). A more sophisticated means to achieve the same effect is to paint extra features like ears or eyes or the back of a person onto the target - the system tries real hard to find items that match certain features, fails and scores your features on low probabilities, meaning that you may still be found but they can't quite get your picture right. What you see here >>180 is also pretty ingenious, as these people have basically created pictures whose features blend in with each other, meaning that the convnets can still find them, but the data on them is so scarce that it misassigns a class to them. Now, convnets themselves are piss easy to build. All you need to do is have a pc with an off-the-shelf consumer gpu, python with tensorflow-gpu / keras installed, a bucketload of faces or people wearing teeshirts (super easy to find, there's a ton of Kaggle tournaments for both classification and semantic segmentation, one of them is bound to be about either) and a couple of days to train them properly. You instantiate either a custom made or a pre-built convnet, train it appropriately on the dataset following some tutorials, then test it out on pictures you may find on the internet. If the probability of that picture containing faces of a certain kind (i.e. side faces vs faces looking straight on) is high enough, the system will mark it as such. However, what you can do at that point is manually edit the picture to add or remove features and test it out on the same convnet, over and over, until you get real low levels of accuracy. That's when you know that your design or tatoos can easily fuck up a basic system. If you wanna learn more on this, I strongly suggest you study some Image Processing. It's eye opening how stupid the procedure is but how deep it affects our everyday lives.
>>183 Nice post, though as the op sort of mentioned, even if we manage to fool the machine, we won't fool the people, i can see such clothing/makeup becoming illegal in say the UK, because it aides terrorism or something, either that or people wearing this stuff get special focus. For this to truly change the game we'd need a lot of people to do it and i don't see that happening.
>>183 wew thank you for this knowledgeable and well written post. >anti surveillance makeup This is, from my memory, the original way that people figured out for fooling facial recognition. Along with ridiculous hair. Things like black triangles and white triangles above/below the eyes. With half my head shaved I imagine I could fool the recognition for side (profile) shots if I painted the bald part of my head with the odd geometry. >learn more about this You've already done a spectacular job spoonfeeding this information, which I am very grateful for, but I must ask if there's a particular book that you would suggest as a starting point, so that I may not need spoonfeeding again in the future? >>184 >won't fool the people This is true, and while I can't speak for the UK, I believe the government here would have a hard time justifying a legal ban on a shirt. >need a lot of people Agree. That is the ultimate goal here, for me at least. This is why I want to be able to achieve a working design; in order to disseminate such a design widely. The more people that are confident i.e. effay that wear it the more normal it will be considered. If attractive people start wearing it in public more will follow. This is a curve I intend to be ahead of, and luckily I do not appear to be alone in this desire. Thinking about it, for the short term I might try to get a "fake" one printed up, if only to start instilling in others the acceptance of this new, hideous design-type so that once a good pattern is achieved it will be more easily accepted by those that surround me day to day.

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/icup/ Tourney /fa/g 05/09/2020 (Sat) 11:07:36 No.175 [Reply] [Last]
Hey, snazzy looking fellas, We are bringing back the INFINITY CUP 2020 and we wouls absolutely love to see you guys out on the field in your finest kits! Come join us and make a team! We'll be waiting for you. https://anon.cafe/icup/ Also, unrelated, but let me say, your board is some serious aesthetically pleasing little thing!

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/fa/g 03/10/2020 (Tue) 15:05:28 No.152 [Reply] [Last]
What core is this /fa/?
>>153 >$12 lowered from $299 fucking lol reminder to never pay more than twenty bucks for clothes unless you really know about stitching, weaving, fabric, thread, and have the ability to actually inspect the shit you're buying before buying. 99.5%+ of fashion is a serious scam.

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YEEZY BASKETBALL /fa/g 11/04/2019 (Mon) 02:10:40 No. 17 [Reply]
these haven't come out yet so these reps probably won't be 1:1 but they look fucking dope thinking about getting them away. 125 bones. Good look?
It looks like a tumour. Boots > nigger runners.
Never been a fan of the 350s and these just look like a high top version of those to me but you do you, man. I have a friend that pulls pussy who wears exclusively 350s. Even has the zebras.
Also, no shoe is more tomber than the martin rose's
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/fa/g 03/03/2020 (Tue) 05:48:26 No.134 [Reply] [Last]
New yeezy's have an old school trick that comes along with them. They're fucking crocks. Will you buy these for the upsell value of $300 for gimmick snake eggs and actual sage?
If they were made of algae, would that change your answer?

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Halloween costumes /fa/g 10/31/2019 (Thu) 22:51:06 No. 14 [Reply]
Take pictures of the trick or treaters and post them. General Halloween costume thread
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Left a post pointing in this direction
I found >>19's post when I checked kun's tor site.
Thanks, we were just discuss where to go if the site was fucked and what do you know. I just miss the Euro/fa/gs and Brazil. It was comfy but empty.
Sure thing. I saw that discussion and thought it'd be best to say something so that hopefully anons could retain contact and regroup.
If you didn’t know (think there’s only two of us here) /fa/ on 8kun is up and has at least 3 posters.

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