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Twitter Shows Exactly Why Everyone Needs Cats

There are a million and one reasons to have a cat. They're hilarious, they're soft, they're adorable, they're very pet-able, and they're total badasses who we love to no end. Some people still don't get it though. Somehow, it's lost on them how amazing cats are.

The twitter account "Why you should have a cat" i.e. @ShouldHaveCat has decided to take it upon themselves to become the best resource for explaining why everyone should have a cat. Or, in their words: "The perfect account to show to your parents when you want a cat". 

And they do it all without saying a thing. All you need to convince people that they should have cats are cat pictures - out of context and absolutely purrfect

tweets from the 'why you should have a cat' account thumbnail includes two pictures including a cat sitting on an arrested suspect's back and another of a cat mom and cat baby with their tongues out 'Cat - Why you should have a cat @ShouldHaveCat'
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New Hilarious Photos By The Twitter Account Matching People with Their Doppelganger Dogs

Have you ever wondered what your doggie doppelgnger would look like? Well, wonder no more: The hilarious @YouAreDogNow takes photo submissions of selfies (or squads) and pairs them with an image of their perfect counterparts.Here are some new photos submitted lately. 



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Henry Conklin loves his dog and wants to share the canine's voice with the world. Modern social media and Conklin's technological know-how make that possible.

The mathematics/computer science undergraduate student at the University of Virginia regularly engages in competitive programming and decided to use these skills to make a Twitter account that his dog Oliver could 'control'.

@OliverBarkBark tweets every time Oliver barks. So far he's had some very insightful things to say:



Conklin describes the process by which he achieved this feat on his website:

By connecting a Rasberry Pi, a wifi dongle, and a microphone, I was able to make a system that automatically detected, filtered, and published each and every one of Oliver's deafening vocalizations.

The full process from bark to tweet takes three steps. First is recording. I have the raspberry pi listening continuously and triggering a recording once it hears a sound over a preset volume. Oliver barking is by far the loudest thing within several miles, so the volume threshold should be sufficient. However, the recordings are still triggered occasionally by unwanted junk. To guard against this, I needed to perform a second step to filter the barks from the junk.

I took a machine learning approach to filter out the barks. I built a model using the pyAudioAnalysis library and around a day's worth of barks (about 20). I then set up a bash script to run every ten minutes, classify each recorded sound, and forward the barks on to the next step.

Finally, the barks are forwarded to the twitter api (using python-twitter) and posted under the handle @OliverBarkBark (be sure to follow!). Currently the tweets are random strings composed of "bark," "ruff," and "woof." I plan to replace that with a bark-to-text translator that will likely produce similar results but be more accurate to Oliver's actual voice.



Being the cool guy that he seems, Conklin also made all the code it took to accomplish this publicly available.

He said the next step is puppy podcasting.

account best of the week bought caption captioned cat cheap critical facebook food forgot log out mistakes payback revenge two - 5819195648
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She made two critical mistakes: 1. She bought me cheap store brand cat food 2. She forgot to log out of her facebook account

hab fun nawt habin anee frenz!

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