A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Python wrapper for CloudCompare

Command-Line Interface (CLI) application to process and correct buildings height in CityJSON files using ground points from LiDAR data.

Semantic segmentation deep learning for aerial, high density Lidar point clouds.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Web labeling tool for bitmap images and point clouds

A curated list of awesome data labeling tools

Learn C Programming, Second Edition, published by Packt

Robust Railroad Infrastructure Detection Framework

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

A workshop on PDAL for FOSS4G SotM Oceania 2018

GDAL Dockerfile (with ECW format and Python support)

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

Approximating Shapes in Images with Polygons

Instructions to colorize SwissSURFACE3D Lidar using SwissIMAGE10 orthoimages, and split the point cloud for later deep learning training.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Practice your pandas skills!

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Training resources for geospatial computing

Brief Introduction to Hyperspectral Image Analysis - Jupyter Notebook

A PyTorch Implementation of Pointnet++.