https://github.com/ileafsolutions/StyleArt

Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
https://github.com/ileafsolutions/StyleArt

coreml image-processing ios machine-learning neural-network prisma

Last synced: about 1 month ago
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Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.

• Host: GitHub
• URL: https://github.com/ileafsolutions/StyleArt
• Owner: ileafsolutions
• Created: 2017-10-19T06:47:48.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-09T05:05:46.000Z (almost 7 years ago)
• Last Synced: 2024-08-15T00:19:50.459Z (5 months ago)
• Topics: coreml, image-processing, ios, machine-learning, neural-network, prisma
• Language: Swift
• Size: 95.1 MB
• Stars: 227
• Watchers: 6
• Forks: 30
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-ios - StyleArt - Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style. (Media / Image)
• awesome-machine-learning - StyleArt
• awesome-ios-star - StyleArt - Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style. (Media / Image)

README

        
# StyleArt

Style Art is a library that process images using COREML with a set of pre trained machine learning models and convert them to Art style.



## Preview



## Installation

### Compatibility

-  iOS 11.0+ 

- Xcode 9.0+, Swift 4+

#### Manual installation

Download and drop the 'StyleArt' folder into your Xcode project. 

## Usage

```swift

 StyleArt.shared.process(image: imageView.image, style: .Candy) { (result) in

            

  }

```

#### Sytles Available

```swift

enum ArtStyle{

    

    case Mosaic

    case scream

    case Muse

    case Udanie

    case Candy

    case Feathers

}

```

More usage info can found on the example project.

## Credits

jcjohnson

[https://github.com/jcjohnson/neural-style](https://github.com/jcjohnson/neural-style)

## Author

iLeaf Solutions

 [http://www.ileafsolutions.com](http://www.ileafsolutions.com)