Search Results for "idl image processing" - Page 12
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Showing 737 open source projects for "idl image processing"
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Data augmentation
List of useful data augmentation resources
List of useful data augmentation resources. You will find here some links to more or less popular github repos, libraries, papers, and other information. Data augmentation can be simply described as any method that makes our dataset larger. To create more images for example, we could zoom in and save a result, we could change the brightness of the image or rotate it. To get a bigger sound dataset we could try to raise or lower the pitch of the audio sample or slow down/speed up.... -
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IMLAB
A Free Experimental System for Image Processing
ImLab is a free open source graphical application for Scientific Image Processing that runs in Windows, Linux and many other UNIX systems. It supports multiple windows, data types including 32 bit integers, 32 bit real numbers and complex numbers. -
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course-v3
The 3rd edition of course.fast.ai
...The materials demonstrate how to train neural networks using the fastai library and the PyTorch deep learning framework, enabling learners to quickly create applications such as image classifiers, natural language processing models, and recommendation systems. -
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Astronomy Linux 21.04
This is an open project "Astronomy Linux 21.04" for amateurs
This is an open project "Astronomy Linux" for amateurs. Free distributive designed for astronomy amateurs. This image contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ... -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. ... -
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medical image analysis
Libraries and command line tools for medical image processing.
This software provides libraries and command line tools for the processing and analysis of gray scale medical images. -
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Astronomy Linux 19.04
This is an open project "Astronomy Linux 19.04" for amateurs
This is an open project "Astronomy Linux" for amateurs. Free Live DVD distributive designed for astronomy amateurs. This DVD contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ... -
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bimg
Go package for fast high-level image processing
bimg is a Go image-processing library that exposes high-level operations through the fast libvips C library. It is designed to minimize memory use while processing images efficiently in production applications. Developers can resize, crop, rotate, zoom, watermark, convert, and manipulate image metadata through a compact API. JPEG, PNG, and WebP are supported natively, while properly configured libvips builds add formats such as TIFF, PDF, GIF, SVG, and AVIF. ... -
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Surface Defect Detection Dataset Papers
Constantly summarizing open source dataset and critical papers
At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally speaking, imaging schemes are usually designed by using the different properties of the inspected surface or defects. A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. ... -
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MyDiary1000
Its A Diary/TextEditor that encrypts your text data using images
This is a diary that allows you to digitally write entries and view them. What makes this a masterpiece from its counterparts is how user data is created and abstracted. User data is protected and stored in PNG images, the image it self is not encrypted but the data inside the image is encrypted. If you open any one of the created PNG images, they look like blank images!. These "normal" looking images protect your information from prying eyes. The simplicity and elegance of my program... -
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Luminance HDR
Complete solution for HDR photography
Luminance HDR is a complete suite for HDR imaging workflow. It provides a wide range of functionalities, during both the fusion stage and the tonemapping stage. Its graphical user interface, based on Qt5, runs on a variety of platforms, such as Microsoft Windows, Mac OS X 10.9 and later and several Unix flavors (Linux, FreeBSD and others). Input images can be supplied in multiple formats, from JPEG to RAW files. In the same way, output can be saved in many different formats as well, from... -
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GIMP ML
AI for GNU Image Manipulation Program
...Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows. -
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amilab is a tool for image processing that includes its own scripting language, and an interface for visualizing 2d/3d images and 3d surfaces. Its main application is medical image processing.
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ArrayFire.jl
Julia wrapper for the ArrayFire library
ArrayFire is a library for GPU and accelerated computing. ArrayFire.jl wraps the ArrayFire library for Julia, and provides a Julia interface. Install ArrayFire library: either download a binary from the official site, or you can build from source. -
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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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quick-media
media(audio/image/qrcode/markdown/html/svg/png) support
quick-media is a lightweight multimedia processing toolkit designed to simplify common video and audio operations through streamlined command execution. It provides a wrapper around FFmpeg functionality, enabling users to perform tasks such as transcoding, clipping, and format conversion with simplified commands. The tool emphasizes ease of use while still allowing access to advanced encoding parameters when needed. It supports batch processing, making it efficient for handling multiple... -
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imaginary
Fast, simple, scalable, Docker-ready HTTP microservice
Imaginary is a high-performance HTTP microservice for image processing written in Go and powered by bimg and libvips. It can run as a private or public service and is designed for large-scale, low-memory image workloads. Images can be supplied through POST bodies, local files, or remote URLs. Supported operations include resizing, cropping, rotation, conversion, watermarking, and other transformations exposed through a simple HTTP API. -
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Spectral Python
A python module for hyperspectral image processing
Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more. -
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BRIC
BRIC is a powerful tool for batch image processing.
Bric is a cross-platform batch image processor. You can convert, resize, rotate and add watermark to your images. Multiple file types are supported for input and output. The project started back in 2011 and was maintained for a couple of years. In 2020 BRIC is again in active development, so some of the features written below might be outdated. Please be patient, until everything is reviewed and rewritten. -
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opencv4nodejs
Nodejs bindings to OpenCV 3 and OpenCV 4
OpenCV4NodeJS is a Node.js binding for OpenCV, allowing developers to integrate computer vision capabilities directly into JavaScript applications for image processing, object detection, and facial recognition. -
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Primitive Pictures
Reproducing images with geometric primitives
Primitive Pictures is an image processing command-line tool written in Go that reproduces images using geometric primitives (triangles, rectangles, ellipses, polygons, etc.). The core algorithm is iterative and “hill-climbing”: given a target image, it repeatedly finds the best single shape to add that will reduce the error between the current approximation and the target image, then draws that shape. -
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Data Science at the Command Line
Data science at the command line
...You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. 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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face-api.js
JavaScript API for face detection and face recognition in the browser
...High-level chained methods let developers combine detection and analysis tasks in a compact workflow. Browser applications can draw boxes, labels, landmarks, and results on overlay canvases. Node.js support is available through image and canvas polyfills, with native TensorFlow bindings recommended for faster processing. -
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TensorNets
High level network definitions with pre-trained weights in TensorFlow
High level network definitions with pre-trained weights in TensorFlow (tested with 2.1.0 >= TF >= 1.4.0). Applicability. Many people already have their own ML workflows and want to put a new model on their workflows. TensorNets can be easily plugged together because it is designed as simple functional interfaces without custom classes. Manageability. Models are written in tf.contrib.layers, which is lightweight like PyTorch and Keras, and allows for ease of accessibility to every weight and... -
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videoshow
Simple node.js utility to create video slideshows from images
videoshow is a Node.js utility designed to create video slideshows from a sequence of images using FFmpeg as its processing engine. It allows developers to programmatically generate videos by combining images with optional audio tracks, subtitles, and visual transitions. The tool supports customization of parameters such as frame rate, resolution, bitrate, and codecs, enabling flexible output configurations. It includes both a programmatic API and a command-line interface, making it...
