Search Results for "pointcloud"

...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 or binary to VTK, STL, OBJ, PLY formats. Analysis tools like Moving Least Squares, mesh morphing and more. Tools to visualize and edit meshes (cutting a mesh with another mesh, slicing, normalizing, moving vertex positions, etc..). Split mesh based on surface connectivity. Extract the largest connected area. ...

Reference Implementation of the ASTM 3D Imaging Format. A file format for interchange of 3D (laser) imaging data. (This work is not officially endorsed by ASTM.)

GLTF/GLB Windows Shell Extension: This shell extension automatically adds thumbnail images to .glb files in Windows File Explorer and provides a right click menu option to generate a 3D preview image for .gltf files. Supports multi-file select and directory processing. Pre-built Windows x64 installer available at https://buymeacoffee.com/nathancrews/e/255640 LAS/LAZ Pointcloud Windows Shell Extension: This "quick viewer" shell extension provides a Windows File Explorer right click menu option to quickly generate 3D preview images for large and small .las and .laz files. (Disclaimer: Processing time depends on compute hardware) Typical processing time for 100mb .las is about 2 seconds. 25mb .laz file process in about the same times. ...

Flux3D.jl is a 3D vision library, written completely in Julia. This package utilizes Flux.jl and Zygote.jl as its building blocks for training 3D vision models and for supporting differentiation. This package also have support of CUDA GPU acceleration with CUDA.jl.

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.

...It let’s you create 3D models from photos. From a series of photos, it automatically matches them and then calculates positions in space from which each photo has been taken along with a 3D pointcloud of the scene

...You give it a series of photos of a real scene, it automatically matches them and then calculates positions in space from which each photo has been taken along with a cool 3D pointcloud of the scene. The source code for the current version are located at https://github.com/lukasmach/insight3d

A virtual scanner that converts 3D models (in Wavefront .obj format) into pointcloud files (in PCL .pcd format). Useful for simulating robotic input. NOTE: This project has been merged into the project at https://github.com/canderegg/cfg_obj