Search Results for "3d graph"
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Showing 27 open source projects for "3d graph"
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rtabmap
RTAB-Map library and standalone application
...A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization so that real-time constraints on large-scale environments are always respected. RTAB-Map can be used alone with a handheld Kinect, a stereo camera or a 3D lidar for 6DoF mapping, or on a robot equipped with a laser rangefinder for 3DoF mapping. -
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lidarslam_ros2
ROS 2 package of 3D lidar slam using ndt/gicp registration
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization. ros2 slam package of the frontend using OpenMP-boosted gicp/ndt scan matching and the backend using graph-based slam. -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. ... -
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miniaudio
Audio playback and capture library written in C,
miniaudio is written in C with no dependencies except the standard library and should compile cleanly on all major compilers without the need to install any additional development packages. All major desktop and mobile platforms are supported. miniaudio gives you complete flexibility. With the low-level API, just initialize a connection to the device and send or receive raw audio data. The modular design of miniaudio allows you to use the low-level API without compromising your ability to... -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of... -
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The Chemistry Development Kit (CDK) is a scientific, LGPL-ed library for bio- and cheminformatics and computational chemistry written in Java. The main home page of the CDK is now at: http://cdk.github.io
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calculatorpp
Calculator++
...This algorithm support: + built-in operator + built-in functions + run-time functions and variables definition + run-time units system, units with prefix + constants definition + Pretty mathematical expressions - Process ascii files (dev) - vector and matrix (dev) - graph 2D and 3D (dev) - vector graph (dev) - symbolic calculate (dev) - Animations (dev) -
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hloc
Visual localization made easy with hloc
...We show in pipeline_SfM.ipynb how to run 3D reconstruction for an unordered set of images. This generates reference poses, and a nice sparse 3D model suitable for localization with the same pipeline as Aachen. -
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DIG
A library for graph deep learning research
The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. -
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vivid
Vivid3D is an open-source 3D engine with powerful 2D UI.
Vivid3D is a full 3D engine with open-source code, which also includes a full 2D UI. This UI is combined with the engine for the "Vivid3D" tool - which is similar in usage to Unity3D, in some regards. -
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SwiftHub
GitHub iOS client in RxSwift and MVVM-C clean architecture
...View repository and user details, events, issues, commits, pull requests, contributors, etc. View issue and pull request messages (MessageKit) Tool for counting lines of code from github repositories (code tabs) (Charts). The missing star history graph of github repos (stars-history) Quickly browse the history of a file from any git repository (git-history) Tool for visualizing GitHub profiles (profile-summary-for-GitHub). View a 3D model of your GitHub contribution grap (skyline) Source file viewer and syntax highlighting (Highlighter) Color themes in light and dark modes (RxTheme) In-app language switching (en, zh, ru, hy) (Localize-Swift) Whats New functionality (WhatsNewKit) Invite friends functionality. ... -
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Vivid3D-Sharp
Modern 3D engine and IDE written using C# and C++.
Modern 3D engine and IDE written using C# and C++. Vivid features all the required functionality to write modern apps ang games. Including a fully working custom GL UI called "ResonanceUI". It features lighting and shadows(Unified) and can even embed and playback videos via FFMPEG, in the UI or full screen, with fully synced audio+picture. It offers two scripting solutions: C# and a custom language called VividScript, which is an OOP style language. The Editor is based on other... -
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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
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Quesa
3D rendering and scene graph library (moved to GitHub)
High-level 3D graphics library. Supports retained and immediate mode rendering, an extensible file format, plug-in renderers, a wide range of high level geometries, hierarchical models, and a consistent and object-orientated API. -
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whs.js
Super-fast 3D framework for Web Applications
whs is currently at v2 major version. We had plans for v3 yet but development isn't active. So v2 will probably remain the main stable version until further notice. We try to publish minor update releases for bug fixes, we will review PRs. Download the minified library or link the one from CDN. Simple integration of any high-performance physics even with Worker (Multithreading). Integrated Three.js rendering engine. Work with whs.js and Three.js at the same time. -
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Object Graph Visualizer
A modeling tool for software engineers (OO)
Object Graph Visualizer is a tool primarily meant to be used in CS courses to help new students understand the Object Oriented paradigm and patterns. Classes and objects - that can be part of a software project - are visualised in 3D: The classes stay In the xz-plane in form of an UML class diagram. Directly above in the y-axis objects can be instantiated as an object diagram. -
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Open PHIGS
PHIGS (Programmer's Hierarchical Interactive Graphics System)
PHIGS is an API standard for rendering 3D computer graphics. During the 1990's OpenGL became a more popular 3D API for professionals, and it still is today. PHIGS remains to be widely used in the film industry. Open PHIGS uses OpenGL for rendering graphics rather than implementing it's own abstraction layer to the graphics hardware, or using the PHIGS Extension to X (PEX). -
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Shiny is a lightning fast, fully documented & by-far-easiest-to-use C/C++/Lua profiler with no extensive surgery. Results are smoothed & shown in run-time as a call-tree or sorted-by-time. Output also renderable as graphs in Ogre3D or your custom engine
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NGSbinningpytools
Python tools for binning NGS scaffolds to various genomes.
Next generation sequencing has opened new avenues for sequencing prokaryotes which were difficult or either impossible to culture. Now, it is possible to sequence all organisms present in a metagenomic community. However, a critical problem is to determine the host organism for each genomic fragment present in the dataset. This project provides the computational tools for assigning the organismal identity for each genomic scaffold in the given dataset. For more detailed documentation... -
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Graphal
Graph algorithms interpreter, IDE, debugger, 3D visualizations.
Graphal is an interpreter of a programming language that is mainly oriented to graph algorithms. There is a command line interpreter and a graphical integrated development environment. The IDE contains text editor for programmers, compilation and script output, advanced debugger and visualization window. The progress of the interpreted and debugged graph algorithm can be displayed in 3D scene. -
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Crimild Engine is an open source scene graph based engine which purpose is to fulfil the high-performance requirements of typical multi-platform two and tridimensional multimedia projects, like games, simulations and virtual reality.
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At an early stage of development. Application/middleware usage monitoring/reporting. Focus on business transactions/use cases to help communicate with users. Small footprint, easy to use GUI and a level of statistical analysis to summarise the data.
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KA3D is a scene graph based 3D-engine with a tool-chain for 3dsmax. KA3D is the engine used in 'Making Game Demo' book by Chad Walker, Eric Walker and Jani Kajala, and in several real-life projects on wide range of platforms.
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callgraph is a project that provides an algorithm for an optimal vertex positioning of any connected graph in 3D, as well as the library and sample application for viewing graphs in 3D.
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Library of terrain level of detail algorithm nodes for Coin (an implementation of an Open Inventor scene graph) and other utility classes. Currently are implemented ROAM, Geo Mip-Mapping and Chunked-LoD algorithms. Any issues and feedback for this projec
