Search Results for "image analysis algorithm"

Get strong typed, autocompleted resources like images, fonts and segues in Swift projects. It makes your code that uses resources to be fully typed, less casting and guessing what a method will return. Compile time checked, no more incorrect strings that make your app crash at runtime. Autocompleted, never have to guess that image name again. For autocompleted images, and compiletime checked images. After installing R.swift into your project you can use the R-struct to access resources. If...

NextLevel is a Swift camera system designed for easy integration, customized media capture, and image streaming in iOS. Integration can optionally leverage AVFoundation or ARKit. ARKit and the True Depth Camera software features are enabled with the inclusion of the Swift compiler flag USE_ARKIT and USE_TRUE_DEPTH respectively. Apple will reject apps that link against ARKit or the True Depth Camera API and do not use them. If you use Cocoapods, you can include -D USE_ARKIT or -D...

...Its API is intended to stay close to GPUImage2 so projects can migrate with less friction where possible. It is useful for Apple-platform developers building camera effects, visual filters, real-time image analysis, and Metal-based media processing tools.

SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. Tesseract is...