Search Results for "easy run opensource"

Experience the latest titles effortlessly with Whisky. Whisky provides a clean and easy to use graphical wrapper for Wine built in native SwiftUI. You can make and manage bottles, install and run Windows apps and games, and unlock the full potential of your Mac with no technical knowledge required. Whisky is built on top of CrossOver 22.1.1, and Apple's own Game Porting Toolkit.

Hero is a library for building iOS view controller transitions. It provides a declarative layer on top of the UIKit’s cumbersome transition APIs—making custom transitions an easy task for developers. Hero is similar to Keynote’s Magic Move. It checks the heroID property on all source and destination views. Every matched view pair is then automatically transitioned from its old state to its new state. Hero can also construct animations for unmatched views. It is easy to define these animations via the heroModifiers property. ...

TweenKit is a powerful animation library that allows you to animate (or 'tween') anything. TweenKit's animations are also scrubbable, perfect for building awesome onboarding experiences! By adding conformance to the Tweenable protocol, anything can be animated. You decide what it means to 'tween' your object, making this a flexible approach.

...The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. ...

...With Core ML, you can integrate trained machine learning models into your app, it supports Caffe and Keras 1.2.2+ at the moment. Apple released conversion tools to create CoreML models which then can be run easily. Finally, there is no easy way to add additional pre or post-processing layers to run on the GPU.

...In addition, it can take snapshots and has rudimentary support for parsing/decoding JSON elements. Chaining asynchronous actions makes the code compact and easy to use.