Search Results for "image processing"
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Showing 12 open source projects for "image processing"
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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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AirCard
Apple Wallet Card Skinner for iOS 18+ (No Jailbreak Required)
...It can apply custom artwork, textures, or bank-style designs to individual Wallet cards without requiring a jailbreak. The application also imports and applies .passthm lock-screen keypad themes on supported iOS versions. A built-in creator can generate themes from a single image or let users design individual keypad buttons. Existing themes can be opened, repositioned, edited, previewed, and exported again. AirCard connects to the iPhone over USB and uses the Airlift AirTraffic synchronization technique to apply supported visual changes. Universal macOS builds include required communication and image-processing components for both Apple Silicon and Intel Macs. -
3
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... -
4
Compositor
The Photoshop alternative for Mac
Compositor is a free, open-source image editor for macOS designed around professional compositing and post-processing workflows. It provides Photoshop-style layers, folders, opacity controls, blend modes, masks, clipping masks, and adjustment layers. Non-destructive transformations allow images to be moved, scaled, rotated, flipped, or distorted while preserving source resolution. -
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5
OpenAI
Swift community driven package for OpenAI public API
...It simplifies the integration of AI capabilities into iOS, macOS, and other Swift-based applications by offering a clean abstraction over the underlying REST API, enabling developers to focus on functionality rather than low-level implementation details. The SDK supports a wide range of features including chat completions, embeddings, image generation, audio processing, and structured outputs, making it a comprehensive toolkit for building AI-powered applications. It also includes support for advanced features such as function calling, assistants, and tool integration through protocols like Model Context Protocol, enabling more complex and interactive AI workflows. -
6
Posturr
A macOS app that blurs your screen when you slouch
...Running locally on the Mac, the app accesses the built-in camera to detect when you slouch or sit incorrectly, and when it recognizes sustained slouching, it applies a progressive visual blur to the screen as a subtle but effective cue to straighten up. 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. -
7
Palmier Pro
macOS video editor built for AI
Palmier Pro is an open-source video editor for Mac built around AI-assisted video creation. It lets users and coding agents work together directly inside a timeline, blending traditional editing with generative workflows. The app is written from scratch in Swift and takes inspiration from professional editors like Premiere Pro while rethinking the workflow around AI. Users can generate videos and images inside the editor with models such as Seedance, Kling, and Nano Banana Pro. It also... -
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GPUImage 3
GPUImage 3 is a BSD-licensed Swift framework for GPU-accelerated video
GPUImage3 is a Swift framework for GPU-accelerated image and video processing on macOS and iOS. It is the third generation of the GPUImage project and replaces the earlier OpenGL-based approach with Apple’s Metal framework. The library aims to make real-time video processing and machine vision easier by hiding much of the GPU rendering boilerplate. It supports image and video sources, custom shader-based processing, and filter pipelines. -
9
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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10
course-v3
The 3rd edition of course.fast.ai
...The materials demonstrate how to train neural networks using the fastai library and the PyTorch deep learning framework, enabling learners to quickly create applications such as image classifiers, natural language processing models, and recommendation systems. -
11
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
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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