Search Results for "image processing toolbox for..." - Page 4
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155 projects for "image processing toolbox for..." with 2 filters applied:
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Application for building web photo albums. Features: FTP Browser, Exif viewer, Thumbnail and Image processing, HTML generation, CSS styles, slideshow (Javascript or JavaFX). Just build your gallery and upload. You won't need Ruby on the server.
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An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType).
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PIAF (Prototype Image Applications Fast) is a prototyping tool for helping development of image processing algorithms. Based on a Qt GUI, it can display and process several live video inputs or still images with a plugins based architecture.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk
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Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.
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Small programs for special image processing tasks with wrapper script for seamless integration into GIMP.
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The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.
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The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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ContraCaptcha is a Java-based libary for solving (image-based) captchas. It provides classes for image processing and character recognition. It also includes solvers for some of the popular captcha-systems in use DISCLAIMER: only for learning purpose (;
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IMGH (IMaGe library in C++ Header files) is a simple, light-weight, and cross-platform image processing library, that supports simple editing and drawing, multiple pixel formats (pointers and float). Designed for developers and researchers.
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This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.
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The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many image processing and analysis algorithms, classification tools, and much more.
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A lightweight PHP implementation of Don Park's original identicon code for visual representation of MD5 hash values. The program uses the standard PHP GD library for image processing.
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JIPL (Java Image Processing Library) is an attempt to provide an efficient way to load, filter, manipulate, and save images. The goal is to provide an intuitive and extensible library.
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Spotfinder is an image processing software tool for microarray image analisys. It is written on C++ with QT GUI toolkit and runs on Windows, X11, and Mac OSX.
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An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.
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LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains features such as automated image processing, data analysis and interactive 2D/3D graphs.
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Scilab Wavelet Toolbox, is designed to emulate Matlab Wavelet Toolbox. Combined with Scilab Image processing toolbox on sourceforge, one could do image wavelet processing the way as the Matlab user does.
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Calculating 2D-Gray-scale bitmaps Calculation of a 3D-rotation-body form a detected area by using different image processing algorithms. Developed for the German Aerospace Center (DLR). Used Projects: Substance (GUI)
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bbips - Bash Batch Image Processing Scripts. A collection of bash scripts that use Imagemagick to "batch" process entire directories of images all at once. For use with Linux and Unix systems to batch process *.jpg image files from the bash shell.
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XIPL/XASM is a basic environment to build high-level Image Processing operations using a XML-based language. The idea is to compile the high-level XIPL language into a low-level one, XASM (XML-based too), using XSLT technology.
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CVSharp (aka Computer Vision in C#) is a Computer Vision project. Until the present day just one part of the whole project was actually developed. It's called CVSharp Lab, an Image Processing Tool.
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Web Based application to manage library materials and material borrowers. Includes a web search engine to find and reserve items by borrower ID. Painless installation, very extensible and has an intuitive U.I. Runs on MySQL. A great tool for any libr
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Fourier is a portable image processing and analysis library written in ANSI C. It implements operations such as color space conversions, noise removal, enhancement, morphology, edge detection, thresholding, segmentation, and visual feature extraction
