Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

Unreal Engine 5 based LiDAR simulation plugin

Attach the WSL2 virtual machine to a Hyper-V virtual switch.

A deep dive into embeddings starting from fundamentals

SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)

SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

The official code repository for paper "Rethinking the Encoding of Satellite Image Time Series".

Deep learning models for remote sensing applications

Submanifold sparse convolutional networks

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

Livox device driver under Ros(Compatible with ros and ros2), support Lidar HAP and Mid-360.

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

ICRA 2021 - Robust Place Recognition using an Imaging Lidar

Helper functions to create COCO datasets

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

An unofficial Python package for Meta AI's Segment Anything Model

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Convert rgb color mask to polygons per class

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

Improved Deep Point Cloud Geometry Compression

A package to provide plug-in for Livox Series LiDAR.

This is a simulation of Livox lidar

BlAInder range scanner is a Blender add-on to simulate Lidar and Sonar measurements. The result can be saved as annotated 2D image or 3D point cloud.

Compute descriptors for 3D point cloud registration using a multi scale sparse voxel architecture

🧮 A collection of resources to learn mathematics for machine learning

An extension of Open3D to address 3D Machine Learning tasks

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