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submitted 1 year ago* (last edited 1 year ago) by pexavc@lemmy.world to c/opensource@lemmy.ml

Other samples:

Android: https://github.com/nipunru/nsfw-detector-android

Flutter (BSD-3): https://github.com/ahsanalidev/flutter_nsfw

Keras MIT https://github.com/bhky/opennsfw2

I feel it's a good idea for those building native clients for Lemmy implement projects like these to run offline inferences on feed content for the time-being. To cover content that are not marked NSFW and should be.

What does everyone think, about enforcing further censorship, especially in open-source clients, on the client side as long as it pertains to this type of content?

Edit:

There's also this, but it takes a bit more effort to implement properly. And provides a hash that can be used for reporting needs. https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX .

Python package MIT: https://pypi.org/project/opennsfw-standalone/

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Right, and I said that if you're so against it then you set up and run you're own instance. I don't think that's very reactionist personally, I'm telling you to go do it yourself if you believe so much in it. Until then I don't really care about how you feel about deserving free speech or censorship when you're not willing to host it yourself. (There are tools that have one click deploy online, all they need is a credit card, feel free to get started today, tell everyone you allow all of the content)

this post was submitted on 28 Aug 2023
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