pyfor
Point cloud analyzer
A Python package for analyzing aerial point clouds of forest data, including tools for forest inventory and LiDAR data processing.
Tools for analyzing aerial point clouds of forest data.
92 stars
9 watching
19 forks
Language: Python
last commit: almost 5 years ago
Linked from 1 awesome list
forest-inventoryforestrylaslidar
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 virtual-vehicle/pointcloudset | Analyzes large datasets of 3D point clouds recorded over time in an efficient way. | 44 |
 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 |
 3dfin/3dfin | Automated computation tool for tree parameters in 3D point clouds using Python | 58 |
 philwilkes/forestlas | Tools and methods for analyzing airborne LiDAR data to quantify forest vertical structure | 20 |
 peiyunh/opcseg | This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
 daavoo/pyntcloud | A Python library for processing and manipulating 3D point clouds | 1,422 |
 sergeyprokudin/bps | An efficient method for encoding 3D point clouds into fixed-length representations using a set of fixed points in space | 174 |
 vukoz-oel/3d-forest | Software for analyzing and visualizing 3D Lidar data from forest environments. | 58 |
 autolidarperception/segmenters_lib | A C++ library providing tools for segmenting point clouds from LiDAR data in ROS | 412 |
 opengeos/lidar | A Python package for analyzing digital elevation models to identify and delineate surface depressions | 252 |
 kdmayer/pointer | A LiDAR-derived point cloud dataset of one million English buildings linked to energy characteristics | 13 |
 heremaps/pptk | A toolkit for visualizing and processing 3D point clouds using octrees and parallelized data structures | 618 |
 apburt/treeseg | Extracts individual trees from high-density lidar point clouds using machine learning and computer vision techniques | 216 |
 c42f/displaz | A viewer for displaying 3D point clouds and derived geometry from geospatial data | 235 |