pptk
Point cloud viewer
A toolkit for visualizing and processing 3D point clouds using octrees and parallelized data structures
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
618 stars
22 watching
114 forks
Language: C++
last commit: about 6 years agoLinked from 2 awesome lists
3-dgps-datagraphics-3dkd-treelidaroctreepointcloudsvisualization
hal9ai/awesome-dataviz
ly0n/awesome-robotic-toolingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pemn/vtk_triangulate_points | Creates simplified surfaces from dense point clouds using either Delaunay or grid triangulation methods | 10 |
 pglira/point_cloud_tools_for_matlab | A collection of Matlab classes for working with point clouds and aligning multiple 3D point sets using the Iterative Closest Point (ICP) algorithm. | 118 |
 cartographer-project/point_cloud_viewer | A tool for visually exploring and navigating massive point clouds | 341 |
 idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,175 |
 daavoo/pyntcloud | A Python library for processing and manipulating 3D point clouds | 1,422 |
 virtual-vehicle/pointcloudset | An efficient analysis tool for large point cloud datasets recorded over time | 44 |
 brycefrank/pyfor | A Python package for analyzing aerial point clouds of forest data, including tools for forest inventory and LiDAR data processing. | 92 |
 peiyunh/opcseg | This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
| pglira/simpleicp | A software package implementing a simple algorithm for aligning two 3D point clouds using an iterative closest point method | 301 |
 c42f/displaz | A viewer for displaying 3D point clouds and derived geometry from geospatial data | 235 |
 amsterdam-ai-team/urban_pointcloud_processing | Automates classification and labeling of urban 3D point clouds using data fusion and region growing techniques. | 170 |
 peterkuma/ccplot | An application for visualizing data from satellite sensors | 36 |
 nicolas-chaulet/torch-points3d | A PyTorch framework for building and training deep learning models on point clouds. | 224 |
 kzampog/cilantro | A C++ library for efficient processing and analysis of 3D point cloud data | 1,048 |