Search Results for "idl image processing"
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Showing 8 open source projects for "idl image processing"
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Halide
A language for fast, portable data-parallel computation
Halide is a programming language for fast, portable data-parallel computation. It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. ... -
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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. -
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Emgu CV
Emgu CV is a cross platform .Net wrapper for OpenCV
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. -
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iOS8-Sampler
Code examples for the new features of iOS 8
iOS8-Sampler is a collection of focused code examples for technologies introduced with iOS 8. The application demonstrates audio distortion and delay through AVAudioEngine, along with built-in and custom Core Image filters. Graphics samples cover Metal rendering, uniform streaming, and SceneKit content. Device and privacy examples explore HealthKit, Touch ID, touch-radius data, altitude sensing, and step counting. Interface demonstrations include blur and vibrancy effects, WKWebView,... -
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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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Gallop
A framework for build smooth asynchronous iOS APP
...Easily draw text frame bouding, drawing the hollow words, sets the text vertical Alignment property, etc Easy to parse the expression in the text, like http(s) link, @ user, # theme #, phone number. Fast to sets the image corner radius property and blur processing, can be processed directly after the image. -
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GPUImage
iOS framework for GPU-based image and video processing
The GPUImage framework is a BSD-licensed iOS library that lets you apply GPU-accelerated filters and other effects to images, live camera video, and movies. In comparison to Core Image (part of iOS 5.0), GPUImage allows you to write your own custom filters, supports deployment to iOS 4.0, and has a slightly simpler interface. However, it currently lacks some of the more advanced features of Core Image, such as facial detection. GPUImage uses OpenGL ES 2.0 shaders to perform image and video... -
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iSDGE is meant to be a free next generation 3D game engine for mobile devices supporting OpenGL ES 2.0. It is very easy to use, extremely flexible and fast. iSDGE is mostly written in C++ and currently comes with an Objective-C binding for iOS.
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