Liuhl555's Stars
clash-verge-rev/clash-verge-rev
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
graphdeco-inria/gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
OSGeo/gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
gee-community/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
google/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
uhlik/bpy
blender python scripts
HuguesTHOMAS/KPConv-PyTorch
Kernel Point Convolution implemented in PyTorch
MNewBie/PCL-Notes
pcl learning notes
nicolas-chaulet/torch-points3d
Pytorch framework for doing deep learning on point clouds.
TombstoneTumbleweedArt/import-ply-as-verts
Blender Python PLY importer for point clouds and nonstandard models.
3dgeo-heidelberg/helios
eMapR/LT-GEE
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
InverseTampere/TreeQSM
Quantitative Structure Models of Single Trees from Laser Scanner Data
weecology/NeonTreeEvaluation
Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery
prs-eth/PanopticSegForLargeScalePointCloud
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
VirtualRoyalty/PointCloudSegmentation
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
microsoft/solar-farms-mapping
VUKOZ-OEL/3d-forest
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple addition of new features by plugins.
prs-eth/ForAINet
official source code for paper entitled "Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning"
kang-0909/point-cloud-registration
LiuGalaxy/CRLC
hzz12138/learn
StefOe/DPCR-AGB
This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
zhaoyutim/palsar_gedi_agb
Wall-to-Wall Above-ground Biomass Estimation with ALOS-2 PALSAR-2 L-Band SAR Data and GEDI
caiohamamura/rGEDIsimulator
rupesh2/gedil2a_l4a
GEDI-PA/MAAP_GEDIAnalysis
Notebooks associated with GEDI L2B subsetting and analysis