Search Results for "image processing framework"
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Showing 17 open source projects for "image processing framework"
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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
...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 optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. ... -
3
SDWebImageSwiftUI
SwiftUI Image loading and Animation framework powered by SDWebImage
SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. -
4
Posturr
A macOS app that blurs your screen when you slouch
...This approach turns posture correction into an interactive feedback loop that doesn’t require wearables or external sensors, prioritizing privacy because all image processing happens on the device with no cloud transmission. It’s helpful for people who spend long hours working at a desk and want a gentle reminder to maintain ergonomic alignment without intrusive notifications. -
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5
ZLPhotoBrowser
Wechat-like image picker. Support select photos, videos, gif, etc.
ZLPhotoBrowser is a Wechat-like image picker. Support select normal photos, videos, gif, and live photos. Support edit images and crop video. Image editor (Draw/Crop/Image sticker/Text sticker/Mosaic/Filter/Adjust(Brightness, Contrast, and Saturation)), (Draw color can be customized; Crop ratio can be customized; Filter effect can be customized; You can choose the editing tool you want). Customize the maximum number of previews or selection, the maximum and minimum optional duration of the... -
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APNGKit
High performance and delightful way to play with APNG format in iOS
The APNGKit project is a high-performance framework for loading, displaying, and animating images in the UIKit / AppKit ecosystem (iOS, macOS, tvOS), specifically targeting the APNG (Animated PNG) image format. Unlike traditional static PNG images, APNG supports frame-by-frame animation with full-color images and transparency — yielding better visual fidelity than GIFs while remaining efficient. -
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Airtest
UI Automation Framework for Games and Apps
¿Airtest provides cross-platform APIs, including app installation, simulated input, assertion and so forth. Airtest uses image recognition technology to locate UI elements so that you can automate games and apps without injecting any code. Airtest cases can be easily run on large device farms, using the command line or python API. HTML reports with detailed info and screen recording allow you to quickly locate failure points. NetEase builds Airlab on top of the Airtest Project. AirtestIDE is... -
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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. -
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Yodd's AI Chat
This app uses the OpenAISwift library, ChatGPTSwift library and OpenAI
Welcome to Yodd AI Chat, your new AI-powered chatbot companion! Yodd AI Chat uses the latest OpenAI API to provide you with an unparalleled chat experience. Whether you're looking for a friendly conversation or need some help with a problem, Yodd AI Chat is here to help. Free chatbot app for OpenAI's ChatGPT. Yodd's ChatGPT is a free and open-source implementation of the OpenAI API in Swift for iOS. It uses the OpenAISwift framework, ChatGPTSwift framework and OpenAI framework. Apparenlty... -
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10
MaLiang
iOS painting and drawing library based on Metal
MaLiang is a painting framework based on Metal. It supports drawing and handwriting with customized textures. The name of "MaLiang" comes from a boy who had a magical brush in a Chinese ancient fairy story. A Canvas is the basic component of MaLiang. You will paint all things on it. Canvas extends from MetalView, which extends from MTKView. MetalView handles all the logic with MetalKit and hides them from you. MaLiang supports the automatic adjustment of stroke size with painting force. 3D... -
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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! -
12
CoreRender
UIKit a-là SwiftUI.framework
CoreRender is a SwiftUI-inspired API for UIKit (that is compatible with iOS 10+ and ObjC). CoreRender uses a declarative API to define UI components. You simply describe the layout for your UI based on a set of inputs and the framework takes care of the rest (diff and reconciliation from virtual view hierarchy to the actual one under the hood). CoreRender includes the robust and battle-tested Facebook's Yoga as default layout engine. Any component such as a text or image can be recycled and reused anywhere in the UI. -
13
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. ... -
14
ARKit + CoreLocation
Combines the high accuracy of AR with the scale of GPS data
ARKit uses camera and motion data to map out the local world as you move around. CoreLocation uses wifi and GPS data to determine your global location, with a low degree of accuracy. ARKit + CoreLocation combines the high accuracy of AR with the scale of GPS data. The potential for combining these technologies is huge, with so many potential applications across many different areas. Allow items to be placed within the AR world using real-world coordinates. Dramatically improved location... -
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FolioReaderKit
A Swift ePub reader and parser framework for iOS
FolioReaderKit is an ePub reader and parser framework for iOS written in Swift. FolioReaderKit is available through CocoaPods and Carthage. Go to your storyboard file, choose or create the view controller that should present the epub reader. In the identity, the inspector set StoryboardFolioReaderContrainer as a class. Media Overlays (Sync text rendering with audio playback). TTS - Text to Speech Support, parse epub cover image, RTL Support. -
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Bender
Easily craft fast Neural Networks on iOS
...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. -
17
Swift AI
The Swift machine learning library
...The example projects are another great resource for seeing real-world usage of these tools. Swift AI currently depends on Apple's Accelerate framework for vector/matrix calculations and digital signal processing.
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