torch-points3d-SiameseKPConv

Point cloud analyzer

A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks.

Pytorch framework for doing deep learning on point clouds. Implementation of Siamese KPConv network for point clouds change detection

GitHub

31 stars
0 watching
2 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
nicolas-chaulet/torch-points3d A PyTorch framework for building and training deep learning models on point clouds. 224
yangyanli/pointcnn A deep learning framework for processing 3D point cloud data to extract relevant features for classification and segmentation tasks. 1,388
fxia22/pointnet.pytorch This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. 2,175
qingyonghu/randla-net A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds 1,327
kzampog/cilantro A C++ library for efficient processing and analysis of 3D point cloud data 1,048
peiyunh/opcseg This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans 23
virtual-vehicle/pointcloudset Analyzes large datasets of 3D point clouds recorded over time in an efficient way. 44
brycefrank/pyfor A Python package for analyzing aerial point clouds of forest data, including tools for forest inventory and LiDAR data processing. 92
canqin001/pointdan Develops a deep learning model for domain adaptation on 3D point cloud data 130
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
pglira/simpleicp A software package implementing a simple algorithm for aligning two 3D point clouds using an iterative closest point method 301
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
heremaps/pptk A toolkit for visualizing and processing 3D point clouds using octrees and parallelized data structures 618
sshuair/torchsat A deep learning framework for analyzing satellite imagery 393