pyntcloud
Point cloud processor
A Python library for processing and manipulating 3D point clouds
pyntcloud is a Python library for working with 3D point clouds.
1k stars
43 watching
224 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
3d3d-deep-learning3d-graphics3d-models3d-point-cloudsdeep-learningpoint-cloudspythonpython-library
szenergy/awesome-lidarRelated projects:
| Repository | Description | Stars |
|---|---|---|
 yangyanli/pointcnn | A deep learning framework for processing 3D point cloud data to extract relevant features for classification and segmentation tasks. | 1,388 |
 idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
 observingclouds/pysonde | A tool for converting and post-processing atmospheric sounding data from radiosonde files to netCDF format. | 8 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,175 |
 kzampog/cilantro | A C++ library for efficient processing and analysis of 3D point cloud data | 1,048 |
 brycefrank/pyfor | A Python package for analyzing aerial point clouds of forest data, including tools for forest inventory and LiDAR data processing. | 92 |
 nicolas-chaulet/torch-points3d | A PyTorch framework for building and training deep learning models on point clouds. | 224 |
 virtual-vehicle/pointcloudset | An efficient analysis tool for large point cloud datasets recorded over time | 44 |
 nvidia-ai-iot/cupcl | A set of libraries and sample code for 3D point cloud processing using CUDA. | 584 |
 heremaps/pptk | A toolkit for visualizing and processing 3D point clouds using octrees and parallelized data structures | 618 |
 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 |
| pglira/simpleicp | A software package implementing a simple algorithm for aligning two 3D point clouds using an iterative closest point method | 301 |
 canqin001/pointdan | Develops a deep learning model for domain adaptation on 3D point cloud data | 130 |
 molaorg/mp2p_icp | Provides C++ libraries and tools for multi primitive-to-primitive point cloud registration and processing pipelines. | 176 |
 pycontribs/pyrax | Provides a Python SDK for interacting with the Rackspace Cloud's OpenStack-based public cloud infrastructure | 237 |