Search Results for "image processing in java"
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Showing 5 open source projects for "image processing in java"
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1
Kingfisher
Lightweight, pure-Swift library for downloading images from the web
Kingfisher is a powerful, pure-Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app. Asynchronous image downloading and caching. Loading image from either URLSession-based networking or local provided data. Useful image processors and filters provided. Multiple-layer hybrid cache for both memory and disk. Fine control on cache behavior. Customizable expiration date and size limit.... -
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Nuke
Image loading system
Nuke ILS provides an efficient way to download and display images in your app. It's easy to learn and use thanks to a clear and concise API. Its architecture enables many powerful features while offering virtually unlimited possibilities for customization. Despite the number of features, the framework is lean and compiles in just under 3 seconds¹. Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and... -
3
AppIcon
AppIcon generates appiconset contains each resolution image for iOS
AppIcon generates *.appiconset contains each resolution image for iOS, MacOS. AppIcon needs path of base image(.png). The size of base image is 1024x1024 pixel preferably. -
4
ARVideoKit
Capture & record ARKit videos, photos, live photos, and GIFs
An iOS Framework that enables developers to capture videos, photos, Live Photos, and GIFs with ARKit content. In other words, you no longer have to screen record/screenshot to capture videos and photos of your awesome ARKit apps! -
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5
GPUImage 2
Framework for GPU-accelerated video and image processing
GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. 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. ...
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