BackgroundRemoval
NSFWDetector
| BackgroundRemoval | NSFWDetector | |
|---|---|---|
| 2 | 1 | |
| 194 | 1,554 | |
| - | 0.0% | |
| 5.4 | 0.0 | |
| 4 months ago | almost 2 years ago | |
| Swift | Swift | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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BackgroundRemoval
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Any tips on saving a image with removed background as an png to firebase?
So I'm using this library to remove the background image: https://github.com/Ezaldeen99/BackgroundRemoval/blob/main/README.md
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Background removal library
You can find the library here : background removal
NSFWDetector
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StoneToss (political cartoonist who enjoys offending) launched his NFTs yesterday. They sold out in 22 minutes, OpenSea banned the collection within the first 6 hours after 100eth+ transactions had occurred. Rarible just banned the collection in the past hour.
For the clarification, Yes, an algorithm (see Deep AI, Sight Engine and Cocoapods NSFW detectors) can block most of the porn/nudity contents, if it is programmed to do so. The point is whether porn is allowed on the NFT protocol or not. As for copyrighted images, the protocol can verify against a database.
What are some alternatives?
face-id - Finding similar faces on iOS device using keras-vggface ML model.
SwiftOCR - Fast and simple OCR library written in Swift
Lumina - A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
EFQRCode - A better way to operate QR Code in Swift, support iOS, macOS, watchOS and tvOS.
iOS 11 by Examples - 👨🏻💻 Examples of new iOS 11 APIs
PandoraPlayer - 🅿️ PandoraPlayer is a lightweight music player for iOS, based on AudioKit and completely written in Swift.
iowncode - A curated collection of iOS, ML, AR resources sprinkled with some UI additions
Sharaku - （Not maintained）Image filtering UI library like Instagram.
PopMenu - A fully customizable popup style menu for iOS 😎
s4tf - Swift for TensorFlow
AspectFillFaceAware - An extension that gives UIImageView the ability to focus on faces within an image.