Search Results for "matlab project for image processing with source code"
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Showing 8 open source projects for "matlab project for image processing with source code"
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1
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... -
2
FengNiao
A command line tool for cleaning unused resources in Xcode
The FengNiao project is a lightweight command-line utility designed to help iOS/macOS developers clean up their Xcode projects by detecting and removing unused image resource files. As projects evolve, image assets often accumulate — many of which may no longer be referenced in code, storyboards, or asset catalogs; FengNiao scans the project directory (and subfolders) to identify those orphaned resources and optionally delete them, helping to reduce project bloat and potential app size. ... -
3
R.swift
Autocompleted resources like images, fonts & segues in Swift projects
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... -
4
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. APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the... -
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5
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... -
6
Iconizer
Create Xcode asset catalogs swift and painless
Create Xcode image catalogs (xcassets) on the fly. Iconizer builds the necessary file structure for you and generates all required images for App Icons, Launch Images and Image Set. You can download the latest Iconizer release and drop it into your applications folder, just as usual. Or you can view the whole source code in the GitHub repository. -
7
30 Days of Swift
A self-taught project to learn Swift
30DaysofSwift is a challenge-style collection of Swift exercises and learning tasks meant to be tackled over 30 days (or more flexibly). Each “day” introduces a coding problem, concept, or mini project that builds on previous days: for example, fundamentals on day 1, optionals and control flow, Swift data structures, closures, protocol programming, UI interaction, etc., culminating in more advanced topics or sample apps. Solutions, hints, or sample projects accompany many of the prompts,... -
8
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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