Search Results for "idl image processing"
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Showing 8 open source projects for "idl image processing"
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1
Gyroflow
Video stabilization using gyroscope data
Gyroflow is an advanced open-source video stabilization application that uses gyroscope and motion sensor data to produce highly accurate and cinematic stabilization results. Instead of relying solely on visual estimation like traditional software stabilizers, it processes real motion data recorded by cameras or external sensors to achieve more precise compensation. This approach allows it to correct complex camera movement, rolling shutter distortion, and lens artifacts while preserving... -
2
PINRemoteImage
A thread safe, performant, feature rich image fetcher
PINRemoteImageManager is an image downloading, processing and caching manager. It uses the concept of download and processing tasks to ensure that even if multiple calls to download or process an image are made, it only occurs one time (unless an item is no longer in the cache). PINRemoteImageManager is backed by GCD and safe to access from multiple threads simultaneously. -
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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. -
4
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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5
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! -
6
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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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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