Search Results for "machine"

GRBL controller application with G-Code visualizer written in Qt.

The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with...

TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and...

...Built in C++ with a modular, extensible architecture, Inviwo combines a visual editor (for creating data pipelines) with a powerful runtime engine that supports real-time rendering, interaction, and GPU-accelerated processing. It’s widely used in scientific domains for building and sharing visualizations of complex data such as medical imaging, simulations, and machine learning models. The platform supports both novice users through its graphical interface and advanced users through scripting and plugin development.

Please see https://github.com/BRIO-lab/Joint-Track-Machine-Learning for the latest version of the JointTrack/JointTrack Auto lineage.

///////// NOTICE We have migrated to GitHub: https://petavision.github.io To clone an updated repository of the PetaVision codebase, please go to our page on GitHub. ///////// PetaVision is an open source, object oriented neural simulation toolbox optimized for high-performance multi-core, multi-node computer architectures. PetaVision is intended for computational neuroscientists who seek to apply neuromorphic models to hard signal processing problems; both to improve on the...

Open source animation of kmeans clustering in X Window System using the C++ libplotter library. Supports Linux, Mac, and BSD. Includes common initialization methods such as Forgy, Macqueen, random, and angular. Sample videos are available through the Files Tab above. The SVN repo is accessible thorugh the Code Tab above. Requires a C++ compiler, libplot-dev, and libncurses5-dev Mac alternative to libplot-dev: macports plotutils +x11

Human Machine integration for vessel segmentation has as main objective finding precise methods for the segmentation of blood vessels in retinal images, with the main goal of improving screening and diagnosis procedures.

A modular implementation of various algorithms and techniques of Machine Vision, and a 3D virtual environment for demonstration, a project for UCM (Universidad Complutense de Madrid).

This project aims to develop a method to identify communities in a social network according to some point of view.

With miao3d you can train a specific Gaussian Markov Random Field (GMRF) that then can be used to estimate a depthmap ("3D"), given an image ("2D"). A GUI allows inspection of the image + depthmap.

Basic emulator of machine with types

VISUAL is a program package for creating and running HMI (human machine interfaces) and SCADA or process visualization applications under LINUX. It enables you to control/operate a/many PLC controlled machine(s) through a computer

Waters - the Waikato Analysis Tool for Events in Reactive Systems. This software will enable users to create finite-state machine models in a graphical user interface, to simulate their execution, and to apply model checking algorithms to them.

This is a generalized version of the famous Langton Ant, which is a FSM (Finite State Machine) with two states. This little program give you the change to describe a FSM with up to eigth states.