101–110 of 154 posts
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I would guess that tests in this sentence refers to tests of the iOS app on the simulator. Which would be slow expectedly
I would think it would run well on a M1/M2 Mac as a native app though, right?
This title really undersells the absolute insanity of the described solution. This is a beautiful example of "if it's stupid, but it works, it's not stupid." The justification is very convincing. One thing I'm curious about: how did you build your corpus of meme images and videos?
It reminds me a little of https://www.beeper.com/ . It allows you to read iMessages on Android and other platforms. To make this work, they will ship you some old iPhone to act as a server "bridge": https://twitter.com/ericmigi/status/1351934418961661959 If it works, it works. But it also speaks volumes about Apple's disregard/inexperience with exposing their stuff via the web - https://www.icloud.com/ being the prim…
Love the hackiness of this - however, the vision framework is available on Desktop macs as well - https://developer.apple.com/documentation/vision and specifically: https://developer.apple.com/documentation/vision/vnrecognize...
Works great for me.
It's kind of like trying to come up with a good Google search phrase, based on how other people must have phrased something, but relying on knowledge of how you phrase things instead.
Do you use mongodb to make it web scale? You turn it on and it scales right up.
Love the hackiness of this - however, the vision framework is available on Desktop macs as well - https://developer.apple.com/documentation/vision and specifically: https://developer.apple.com/documentation/vision/vnrecognize...
What's the cost of building and running a cluster of iPhones vs Mac Minis?
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Author here: KnowYourMeme is one of many sites that memes are continually ingested from (any site that has memes I try to ingest regularly) :)
Nice IPhone cluster. Have you tried something based on deep-learning that uses Transformers : https://github.com/roatienza/deep-text-recognition-benchmark (available weights are for tasks that seem similar to OCR so there is a good chance you can use it out of the box). With a good gpu it should process hundreds to thousands image per seconds, so you likely can build your index in less than a day. (Maybe you can even…
This title really undersells the absolute insanity of the described solution. This is a beautiful example of "if it's stupid, but it works, it's not stupid." The justification is very convincing. One thing I'm curious about: how did you build your corpus of meme images and videos?
(Not the author) Maybe they leveraged https://knowyourmeme.com/ ? But that can't possibly have all the random memes, could it?
If so, is there any risk in getting your account suspended or ip range banned somehow because of this, for example?