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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation).
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<a href="https://www.ramotion.com/agency/app-development?utm_source=gthb&utm_medium=repo&utm_campaign=reel-search"><img src="https://github.com/Ramotion/folding-cell/blob/master/header.png"></a> <a href="https://github.com/Ramotion/reel-search"> <img align="left" src="https://github.com/Ramotion/reel-search/blob/master/reel-search.gif" width="480" height="360" /></a> <p><h1 align="left">REEL SEARCH</h1></p> <h4>Reel Search is a Swift UI controller that allows you to choose options from a list</h4> ___ <p><h6>We specialize in the designing and coding of custom UI for Mobile Apps and Websites.</h6> <a href="https://www.ramotion.com/agency/app-development?utm_source=gthb&utm_medium=repo&utm_campaign=reel-search"> <img src="https://github.com/ramotion/gliding-collection/raw/master/[email protected]" width="187" height="34"></a> </p> <p><h6>Stay tuned for the latest updates:</h6> <a href="https://goo.gl/rPFpid" > <img src="https://i.imgur.com/ziSqeSo.png/" width="156" height="28"></a></p> </br> # RAMReel [](https://developer.apple.com/swift/) [](https://cocoapods.org/pods/RAMReel) [](http://cocoapods.org/pods/RAMReel) [](https://github.com/Ramotion/reel-search) [](https://codebeat.co/projects/github-com-ramotion-reel-search) [](https://travis-ci.org/Ramotion/reel-search) [](http://twitter.com/Ramotion) [](https://paypal.me/Ramotion) ## Requirements - iOS 8.0+ - Swift 4.0 ## Installation We recommend using **[CocoaPods](https://cocoapods.org/)** to install our library. Just put this in your `Podfile`: ~~~ruby pod 'RAMReel' ~~~ or [Carthage](https://github.com/Carthage/Carthage) users can simply add `reel-search` to their `Cartfile`: ``` github "Ramotion/reel-search" ``` ## Usage In order to use our control you need to implement the following: ### Types - **`CellClass`**: Your cell class must inherit from [`UICollectionViewCell`](https://developer.apple.com/library/ios/documentation/UIKit/Reference/UICollectionViewCell_class/) and implement the [`ConfigurableCell`](https://rawgit.com/Ramotion/reel-search/master/docs/Protocols/ConfigurableCell.html) protocol. Or you can just use our predefined class [`RAMCell`](https://rawgit.com/Ramotion/reel-search/master/docs/Classes/RAMCell.html). - **`TextFieldClass`**: Any subclass of [`UITextField`](https://developer.apple.com/library/ios/documentation/UIKit/Reference/UITextField_Class/) will do. - **`DataSource`**: Your type must implement the [`FlowDataSource`](https://rawgit.com/Ramotion/reel-search/master/docs/Protocols/FlowDataSource.html) protocol, with `QueryType` being `String` and `ResultType` being [`Renderable`](https://rawgit.com/Ramotion/reel-search/master/docs/Protocols/Renderable.html) and [`Parsable`](https://rawgit.com/Ramotion/reel-search/master/docs/Protocols/Parsable.html). Or you can just use our predefined class [`SimplePrefixQueryDataSource`](https://rawgit.com/Ramotion/reel-search/master/docs/Structs/SimplePrefixQueryDataSource.html), which has its `ResultType` set to `String`. Now you can use those types as generic parameters of type declaration of `RAMReel`: ~~~swift RAMReel<CellClass, TextFieldClass, DataSource> ~~~ ### Values Next you need to create an instance of `RAMReel`, and for that you need the following: - **`frame: CGRect`**: Rect, specifying where you want to put the control. - **`dataSource: DataSource`**: the source of data for the reel. - **`placeholder: String`*
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ab770083eb2a4275, llm:Repository description: 'Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation)'. Language: Swift but description indicates deep learning image rectification using PyTorch.
matched fp:ab770083eb2a4275, llm:Repository description: 'Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation)'. Language: Swift but description indicates deep learning image rectification using PyTorch.