GeoHungry

H3DNet

torch-points3d

Pytorch framework for doing deep learning on point clouds.

2020_ICESat-2_Hackweek_Tutorials

Combined repository for the final tutorial material presented at the 2020 ICESat-2 Cryosphere-themed Hackweek presented virtually by the University of Washington.

ICESat2_hackweek_tutorials

Combined repository for final tutorial material from 2019 ICESat-2 HackWeek at the Univeristy of Washington

TGNet

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation

pcrnet_pytorch

This is a pytorch implementation of PCRNet

PCReg.PyTorch

A Simple Point Cloud Registration Network based on PointNet.

PCAT_open_source

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

line_detector

line segment detector(lsd) &. edge drawing line detector(edl) &. hough line detector(standard &. probabilistic) for detection

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

ACDRNet

Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"

Toronto-3D

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

slambook

cpd

C++ implementation of the Coherent Point Drift point set registration algorithm.

global_l0

Global L0 algorithm for regularity-constrained plane fitting

Awesome-Deblurring

A curated list of resources for Image and Video Deblurring

AdTree

Accurate, detailed, and automatic modelling of laser-scanned trees

PLADE

PLADE: A Plane-based Descriptor for Point Cloud Registration with Small Overlap

3D-BoNet

🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

OCNN

Object-based CNN

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

GuidedDenoising

Guided Mesh Normal Filtering

awesome-point-clouds-registration

A list of papers about point clouds registration

lidR

Airborne LiDAR data manipulation and visualisation for forestry application

modeling

Minglei Li, Franz Rottensteiner, Christian Heipke, Modelling of buildings from aerial LiDAR point clouds using TINs and label maps

pointconv

DeepOSM

Train a deep learning net with OpenStreetMap features and satellite imagery.

PyCRS

Projection creation, and conversion to misc formats

mapalignment

Aligning and Updating Cadaster Maps with Remote Sensing Images

BuildingDetectors_Round2

Building detector algorithms from second SpaceNet Challenge