Search Results for "point clouds"
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Showing 46 open source projects for "point clouds"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and development... -
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Cesium
An open-source JavaScript library for world-class 3D globes and maps
... commercial and non-commercial use. With more than 1,000,000 downloads, CesiumJS powers apps that reach millions of users. We believe that collaboration is rooted in openness, and are committed to an open ecosystem. Stream, style, and interact with 3D buildings, photogrammetry, and point clouds using the 3D Tiles open specification. -
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Foxglove Studio
Robotics visualization and debugging
Foxglove Studio is an open-source visualization and debugging tool for robotics. Use customizable layouts to arrange interactive visualizations and quickly understand what your robot is doing. Use Foxglove Studio's rich interactive visualizations to analyze live connections and pre-recorded data. Experience the world as your robot does. Visualize images and point clouds, overlay bounding boxes, add classification labels and planned movements, and drill down into your data with plots or raw... -
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DRACO
A ibrary for compressing and decompressing 3D geometric meshes
Draco is an open-source library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics. Learn about compressing and viewing 3D models with Draco, and about different compression models and their effects. Draco was designed and built for compression efficiency and speed. The code supports compressing points, connectivity information, texture coordinates, color information, normals, and any other generic... -
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Segments.ai
Segments.ai Python SDK
Multi-sensor labeling platform for robotics and autonomous vehicles. The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. Powerful ML assistance lets you label faster and reduce costs. Integrate data labeling into your existing ML... -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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PyG
Graph Neural Network Library for PyTorch
... 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. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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Vedo
A python module for scientific analysis of 3D data
A lightweight and powerful python module for scientific analysis and visualization of 3d objects. Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with 3D pointclouds, meshes and volumes, in just a few lines of code, even for less experienced programmers. vedo is based on VTK and numpy, with no other dependencies. Import meshes from VTK format, STL, Wavefront OBJ, 3DS, Dolfin-XML, Neutral, GMSH, OFF, PCD (PointCloud). Export meshes as ASCII... -
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fog
The Ruby cloud services library
Whether you need compute, dns, storage, or a multitude of other services, fog provides an accessible entry point and facilitates cross-service compatibility. Just getting started working with cloud resources? You are not alone, and having so many complicated options makes it hard to know where to start. fog delivers the knowledge of cloud experts to you, helping you to bootstrap your cloud usage and guiding you as your own expertise develops. By coding with fog from the start you avoid vendor... -
Manage your enterprise’s compensation lifecycle and accurately recognize top performers with a digitized, integrated system. Keep employees invested and your HR team in control while preventing compensation chaos.
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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... -
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pyntcloud
pyntcloud is a Python library for working with 3D point clouds
This page will introduce the general concept of point clouds and illustrate the capabilities of pyntcloud as a point cloud processing tool. Point clouds are one of the most relevant entities for representing three dimensional data these days, along with polygonal meshes (which are just a special case of point clouds with connectivity graph attached). In its simplest form, a point cloud is a set of points in a cartesian coordinate system. Accurate 3D point clouds can nowadays be (easily... -
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The 3D Toolkit provides algorithms and methods to process 3D point clouds. In includes automatic precise registration (6D simultaneous localization and mapping, 6D SLAM) and other tools, e.g., a fast 3D viewer, plane extraction software, etc.
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Software tools facilitating the task of surveying architecture (real-time control, parametric modelling, use of digital photographs, processing of point clouds...). Until now, those tools were mainly used to document cultural heritage sites/buildings
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Lights of Dreams IV
Xylvan, the angelic messenger must save the 3800's World.
Hi! A long time ago, Lights of Dreams: The Angelical Blade is a 3D adventure game staring Xylvan and is the first 3D game of Xilvan Design. A newer release appeared recently, we are now at v51.27 of Lights of Dreams IV: Far Above the Clouds. Please bookmark & share our projects. Hope you'll like our games in the near future. Friendly, Xylvan, Xilvan Design All Rights Reserved 2005-2024. -
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Lights of Dreams V
Xylvan must save people interplanetary & intergalactic travel.
Xilvan Design may present you their upcoming title: Lights of Dreams V: Path of Starfield. This is the v45.57! It's a game developed in Blitz3D. 1751 planets to discover in this game. A game made by Xilvan Design. All Rights Reserved 2020-2024. -
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GTB: Graphics Toolbox
C++ libraries and apps for computer graphics and data visualization
The Graphics Toolbox (GTB) is a collection of C++ libraries and apps for computer graphics and data visualization. Wagner Correa initially created GTB as part of his Ph.D. research at Princeton University in collaboration with Professor Claudio Silva and Dr. James Klosowski. Several other researchers later contributed to GTB (see the AUTHORS file). -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing... -
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3Depict
atom probe software : visualisation and data analysis
This software is designed to help users visualize and analyze 3D point clouds with an associated real value, in a fast and flexible fashion. The primary use is in Atom Probe Tomography, which is an atomic imaging technique. However the program may also be useful in other areas, such as geospatial data, lidar, etc. -
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Objectron
A dataset of short, object-centric video clips
The Objectron dataset is a collection of short, object-centric video clips, which are accompanied by AR session metadata that includes camera poses, sparse point-clouds and characterization of the planar surfaces in the surrounding environment. In each video, the camera moves around the object, capturing it from different angles. The data also contain manually annotated 3D bounding boxes for each object, which describe the object’s position, orientation, and dimensions. The dataset consists... -
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Semantic Segmentation Editor
Web labeling tool for bitmap images and point clouds
A web-based labeling tool for creating AI training data sets (2D and 3D). The tool has been developed in the context of autonomous driving research. It supports images (.jpg or .png) and point clouds (.pcd). It is a Meteor app developed with React, Paper.js, and three.js. -
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PyMesh
Geometry processing library for Python
PyMesh is a codebase developed by Qingnan Zhou for his PhD research at New York University. It is a rapid prototyping platform focused on geometry processing. PyMesh is written with both C++ and Python, where computational intensive functionalities are realized in C++, and Python is used for creating minimalistic and easy-to-use interfaces. PyMesh is a rapid prototyping platform focused on geometry processing. It provides a set of common mesh processing functionalities and interfaces with a... -
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cghplayer
Computer Generated Hologram Player
CGH-Player calculates and displays a hologram of an object consisting of point clouds in real time. However, since the amount of calculation is very large, the fps becomes very low as the number of points of the object increases. -
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Dynamic Robot Localization
Point cloud registration pipeline for robot localization and 3D
..., configurable and extensible point cloud matching library, allowing its usage in related problems such as estimation of the 6 DoF pose of an object and 3D object scanning. -
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3DHOP
3D Heritage Online Presenter
3DHOP (3D Heritage Online Presenter) is an application for the creation of multimedia interactive Web presentations of digital cultural artifacts. 3DHOP allows easy visualization of 3D models directly inside HTML pages and streaming of multiresolution 3D meshes over HTTP, supporting the exploration of very large models on commodity computers and standard internet connections. -
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Open-source software for diagnostics of existing masonry structures using physics-based modeling, point clouds, and machine learning tools