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

A point cloud segmentation algorithm based on clustering analysis

Inference module for RangeNet++ (milioto2019iros, chen2019iros)

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

Web labeling tool for bitmap images and point clouds

Extract individual trees from lidar point clouds

SECOND for KITTI/NuScenes object detection

World's first general purpose 3D object detection codebse.

OpenMMLab Detection Toolbox and Benchmark

Source code of the TLSeparation Python package.

A semantic segmentation engine for streaming pointcloud data

Tools for visualizing and fitting pointcloud data

using python to process rgbd data and pointcloud data

三维点云激光分类（建筑，树木）

🚕点云深度学习框架 | Point cloud Deep learning Framework🚕

Deepin Wine for Ubuntu/Debian

PyCrown - Fast raster-based individual tree segmentation for LiDAR data

Context This dataset contains tree observations from four areas of the Roosevelt National Forest in Colorado. All observations are cartographic variables (no remote sensing) from 30 meter x 30 mete…

A set of tools for dealing with point clouds representing a forest. Basic object recognition and extraction, calculation of spatial and spectral attributes, automation of data processing, etc.

Individual tree segmentation from LiDAR-derived point clouds

🇨🇳 GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

A resource repository for 3D machine learning

A PyTorch Library for Accelerating 3D Deep Learning Research

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

The PyTorch Implementation of F-ConvNet for 3D Object Detection

The PyTorch Implementation of F-ConvNet for 3D Object Detection

PCDet Toolbox in PyTorch for 3D Object Detection from Point Cloud

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.