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Showing 14 open source projects for "image tools"
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openSkyMatch
Matches OpenScience Observatories images with astronomical catalogs
openSkyMatch is a collection of Linux shell and Python scripts designed for the OpenScience Observatories program. It automates the identification and matching of detected celestial objects in locally captured FITS images with entries in large-scale sky catalogs, notably Pan-STARRS1 DR2 (II/389/ps1_dr2). The toolkit supports data preprocessing, coordinate correlation, and catalog-based validation of astronomical detections. All tools are open-source and optimized for reproducibility and... -
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CS Notes
Essential knowledge for technical interviews, Leetcode, and OS
CS-Notes is a comprehensive, community-driven collection of study materials and technical notes for computer science students and professionals. Created by CyC2018, the repository consolidates essential computer science topics, algorithm solutions, and interview preparation materials in one well-organized resource. It covers a broad range of subjects, including data structures, algorithms, operating systems, networks, databases, and Java development. The repository also includes sections on... -
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Roger's Math Whiteboard
A Free, Open-Source Whiteboard App designed for Math Teachers.
***Update Nov 2022: The version available here is now out of date. See our website (www.rogersmathwhiteboard.com) for the latest version. *** Roger’s Math Whiteboard is a free, open-source, cross-platform, hardware independent whiteboard program designed around the needs of STEM teachers. It is designed to streamline the process of teaching math and science with a smart board, touchscreen or other similar device. It can best be understood as a multi-page image editor built for... -
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Hello AI World
Guide to deploying deep-learning inference networks
...Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design. -
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Computer Vision
Best Practices, code samples, and documentation for Computer Vision
In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems. ... -
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PyTorch GAN Zoo
A mix of GAN implementations including progressive growing
PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD,... -
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Data Science at the Command Line
Data science at the command line
...To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power. -
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NiftyNet
An open-source convolutional neural networks platform for research
An open-source convolutional neural networks platform for medical image analysis and image-guided therapy. NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNNs) platform for research in medical image analysis and image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained models. Using this modular structure you can get started with established pre-trained networks using built-in tools. ... -
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UI Bootstrap
Bootstrap components written in pure AngularJS by the AngularUI Team
Bootstrap components written in pure AngularJS by the AngularUI Team. UI Bootstrap provides a set of native AngularJS directives based on Bootstrap's markup and CSS. As a result no dependency on jQuery or Bootstrap's JavaScript is required. Build files for all directives are distributed in several flavours: minified for production usage, un-minified for development, with or without templates. It should be noted that the -tpls files contain the templates bundled in JavaScript, while the... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
...The design supports both single-variable and high-dimensional problems, and includes tools for evaluating how well a learned optimizer performs on unseen tasks. -
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TESTIMAGES
Testing images for scientific purposes
...Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-... -
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bildster
Bildster is an image processing library for educational purposes.
Bildster is an image processing library for educational purposes that provides tools for loading and manipulating (or creating) images. It provides a split screen view (before / after). Both, a C and a Java version exist. Das Projekt stellt das Programmpaket "Bildster" bereit --- eine Entwicklungsumgebung für Bildverarbeitungsprogramme. Es gibt eine C-Version für Linux und eine plattformunabhängige Java-Version. -
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RemasterPi
Operating System Image customization Tools For RaspberryPi
RemasterPi is a set of scripts that can automate the build process of the Raspbian operating system images. The images it produces are only the bare minimum to boot the system and can then be customized by the end-user using a menu-based application. This way unexperienced users will be able to create their own customized distribution by making selections from pre-sets configured by hardcore distro hackers. Also it enables the busy Linux guru's to automate tasks and save loads of time...
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