/3479238053_46d4819027_o-57fef40d5f9b5805c2bb8973.jpg "iphone ascii art text message")
If you’re an avid user of the shrug emoticon, you’ll need to keep revisiting the website to copy and paste it, which is a relatively slow and annoying process, especially on your mobile phone. The shrug emoticon is one of the more intricate emoticons to type, so most people resort to copying and pasting it from a website, like CopyShrug.īut copying and pasting the emoticon is really only a good option if you use it sparingly.
IPHONE ASCII ART TEXT MESSAGE HOW TO
How to Type the Shrug Emoji ¯\_(ツ)_/¯ in Two Seconds Flat If you still have an affinity for typed emoticons like me, especially the ¯\_(ツ)_/¯ emoticon, here’s how you can type it in two seconds flat on a Mac, Windows, iPhone, and Android. Emoticons bring me back to simpler times when my phone still had a physical keyboard and AOL Instant Messenger was my main method of communication.
Though emojis have come a long way, I’m still a big fan of typed emoticons. However, it’s worth noting the shrug emoji wouldn’t exist without its predecessor, the shrug emoticon. Sometimes you just need a symbol to get the point across, and emojis serve that purpose. There’s no denying the power emojis have when it comes to boosting engagement and emphasizing communication. The function to do that can be seen here.Ĭreating and then updating Image to ASCII Art has provided a really fun way to learn new frameworks, learn new math, and to create a fun app over many years.The shrug emoji 🤷 is a popular image used to convey confusion or emphasize a question. I implemented that by combining all the channels into the blue channel and then calculating a histogram of that image. That process is necessary to create the “palette” of ASCII symbols used to represent different shades of gray.
IPHONE ASCII ART TEXT MESSAGE CODE
One of the technical elements of the rewrite I am most proud of is the code that counts how many white pixels are in an image. The interface being in SwiftUI even allowed it to also run on macOS after writing just a few AppKit shims. The interface felt a lot smoother and the conversion process was 552% faster. It was a lot of fun and I am very happy with the result. With my intentions set to make the app even better and learn new things, I started work on the new version. I had wanted to learn it ever since watching it announced at WWDC19 and decided rewriting the interface of a simpler project would be the perfect time to do so. I was fascinated by the amount of math it could do extremely efficiently, so after the project I started trying out the Accelerate vImage framework.Īt that same time I wanted to learn SwiftUI. When working on my Short Time Fourier Explainer scholarship project, I was exposed to the Accelerate vDSP framework for the first time. It taught me to always look for alternate solutions because sometimes those are the only ones where it is feasible. While that would now be a pretty simple solution, it was a pretty impactful experience as I was starting off development. I solved that by using firebase to store the text and then passing a key to access it in the message. The iMessage extension URL that was sent had a character limit that the art far exceeded. The iMessage extension presented one of the first technical roadblocks I encountered when making apps.
Over the next couple months I worked on making the interface pleasant to use along with creating in iMessage extension to make the generated ASCII Art easier to share. I don’t exactly remember what gave me the idea but after researching the topic, I wrote a (naively implemented) ASCII conversion algorithm and a basic interface. In fall of 2017 I started working on the app because I wanted to build something for a device that I use every day: an iPhone. It was my first introduction to the Swift language and the Apple ecosystem as a whole. It can turn any image into a representation fully constructed of ASCII characters.
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