Search Results for "image processing framework" - Page 32
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Showing 1300 open source projects for "image processing framework"
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JPIV
Particle Image Velocimetry
JPIV is a platform independent, graphical stand-alone application for Particle Image Velocimetry (PIV) written in Java. PIV is an optical technique for measuring fluid flow velocities. JPIV moved to GitHub. Please visit us at: https://eguvep.github.io/jpiv/ -
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TheCarProject
Full on CMS for Auto vehicle sales
A fully Featured Auto vehicle, Auto Dealer php sales web site software, built on Bootstrap 3 it will present the best possible viewpoint for your customers, unlimited items, unlimited images per item. Totally driven from the admin side of the site. Written on PHP 7 and MySQL 5.7 with backwards compatibility built in. Featuring Social sharing ICONs, separate SEO Keyword’s, and Description as well as a generated set of Keywords and description if nothing is entered, FancyBox (free version),... -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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Project has moved to https://github.com/DistributedProofreaders/dproofreaders Distributed Proofreaders is a web application intended to ease the process of converting public domain books and other printed materials into e-texts. The main site is at http://www.pgdp.net By breaking the work into individual pages, many proofreaders can be working on the same book at the same time. This significantly speeds up the proofreading/E-Text creation process. When a proofer elects to...
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TOFSIMS
R/Bioconductor toolkit for mass spectrometry data
The tofsims project is an R/Bioconductor toolkit designed for processing, analyzing, and visualizing imaging mass spectrometry data from Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) instruments. It supports importing raw and preprocessed data from popular instrument platforms (e.g. IONTOF, Ulvac-Phi) and provides methods for mass calibration, peak picking, and peak integration. The package allows transformation of spectra into 2D image structures (mass images), with operations such as binning, scaling, subsetting, and visual rendering. ... -
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SDL Framework (SDLFW) SDLFW is a cross-platform framework from the powerful SDL library to create your own 2D games with the Lua programming language. It's easy-to-use, free, open-source, and works on Windows and Linux.
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Fraqtive
Generator of the Mandelbrot family fractals
Fraqtive is an open source, multi-platform generator of the Mandelbrot family fractals. It uses very fast algorithms supporting SSE2 and multi-core processors. It generates high quality anti-aliased images and renders 3D scenes using OpenGL. It allows real-time navigation and dynamic generation of the Julia fractal preview. Website: https://fraqtive.mimec.org/ -
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EasyPR
An easy, flexible, and accurate plate recognition project
EasyPR is an open-source license plate recognition system designed to detect and recognize vehicle license plates from images using computer vision and machine learning techniques. The project focuses primarily on recognizing Chinese license plates but also demonstrates general approaches to automatic number plate recognition systems. Built on top of the OpenCV computer vision library, EasyPR provides algorithms for detecting license plate regions in images, segmenting characters, and... -
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...SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
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LithoGraphX
LithoGraphX, 3D data analysis and visualization
LithoGraphX is an open source software for scientists, by scientists. It aims at providing the plant science community with a solid, open, community developed, software for 3D data analysis and visualization. LithoGraphX is a fork of the MorphoGraphX project. -
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MDPP
The Biozentrum Micrograph Data Processing Program (MDPP)
MDPP is an image processing package designed for micrograph data. It contains program to process data in a number of ways including many averaging methods, statistical methods and reconstruction schemes. The programs are not limited to micrograph data of course, but can be applied to images of all types. -
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Intense Images
A simple library to view large images up close
Intense Images is a standalone JavaScript library for viewing images in a full-screen, immersive style. It lets users open images into a focused viewer and pan around them using mouse or touch position. The library does not require jQuery or another framework, which makes it easier to add to lightweight web projects. It handles the creation, styling, and management of the viewer and captions while leaving normal image styling up to the developer. Intense Images is useful for portfolios, galleries, product pages, photography sites, and visual storytelling experiences. Its main value is giving websites a simple way to make image viewing feel larger, smoother, and more interactive. -
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JpPortal
A full-stack enterprise applicaiton portal framework.
JpPortal is a full-stack framework for enterprise web application development in Java. Though it can be characterized as an M.V.C. framework, a more accurate description would be a M.U.S.I.C. framework (Model Utility Servlet Interface Client). The Model and Utility components provide a simple persistence-like interface to database back-ends, without the complexity or overhead of JPA or Hibernate. -
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SuperEmbed.js
Fluid width for YouTube, Vimeo, Vine, VideoPress, DailyMotion, etc.
SuperEmbed.js detects embedded videos from YouTube, Vimeo, Vine, VideoPress, DailyMotion, and more on webpages and makes them responsive. Essentially, this means they stretch to fill their container while still maintaining the content's original aspect ratio. I created SuperEmbed to fix all my issues with existing solutions, including (but not limited to) unnecessary reliance on other libraries, bloated code, and poor fallback support. -
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Gecco
Lightweight Java web crawler framework with jQuery-style extraction
Gecco is a lightweight web crawler framework written in Java that simplifies the process of building web scraping applications. It is designed to make crawler development straightforward by allowing developers to extract page elements using jQuery-style selectors rather than complex parsing logic. It integrates several well-known Java libraries and frameworks, including tools for HTTP requests, HTML parsing, JSON processing, and application development. -
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Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4. -
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fast-neural-style
Feedforward style transfer
The fast-neural-style project is an implementation of neural style transfer techniques optimized for real-time image processing. It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications. ... -
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OkGo
OkGo - 3.0
This library is based on the Http protocol and encapsulates the OkHttp network request framework. It is easier to use than Retrofit, supports RxJava, RxJava2, supports custom caching, and supports batch breakpoint download management and batch upload management functions. Completely imitating WeChat's image selection library, it comes with rectangular image cropping and circular image cropping functions, which can be downloaded and used if necessary. ... -
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DMTK
Microsoft Distributed Machine Learning Toolkit
...This architecture allows developers to build machine learning systems capable of processing massive datasets and training complex models with reduced infrastructure requirements. DMTK also includes several specialized algorithms and systems, such as LightLDA for large-scale topic modeling and distributed implementations of word embedding techniques used in natural language processing. -
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KinoGlitch
Video glitch effects for Unity
...The effects can be layered and tuned to match the mood of gameplay or cinematics. The repository’s clarity makes it a useful reference for developers learning to implement post-processing passes and stylized image effects in Unity. -
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MatQuantify
An image processing tool
MatQuantify, written in MATLAB, detects both large-scale and subtle structural changes in the spindle or DNA and can be used to statistically compare the effects of different treatments. MatQuantify can quantify various physical properties extracted from fluorescence microscopy images, such as area, lengths of various components, perimeter, eccentricity, fractal dimension, satellite objects and orientation. It can also measure textual properties including entropy, intensities and the... -
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QtAV
A cross-platform multimedia framework based on Qt and FFmpeg
QtAV is a cross-platform multimedia framework built on top of Qt and FFmpeg that enables developers to create high-performance audio and video applications with minimal effort. It provides a flexible API for decoding, encoding, and rendering media streams, supporting a wide variety of formats through FFmpeg integration. The framework supports hardware acceleration technologies such as DXVA, VAAPI, and CUDA, ensuring efficient playback even for high-resolution or complex video formats. ... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). -
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Composight is a cross-platform toolkit for 3D-image processing in the domain of composite materials science. It is written in C++ and provides small, problem-specific applications for viewing, filtering and segmentation of volumetric data such as micro-CT scans. The main objective is not to provide yet another complex application for volume data visualization and medical image processing.
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Training Image Operators from Samples
Tools to train Image Operators automatically from a set of samples.
TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image.
