Ground Segmentation from Lidar Point Clouds
- lidar
- ros
- segmentation
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Ground Segmentation from Lidar Point Clouds
Detect 6-DOF grasp poses in point clouds
My awesome point cloud labeling tool
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
.NET polycloud storage framework which provides a unified polycloud API across 15+ clouds for Object manipulation, File uploads/downloads, File streaming/seeking, Directory upload/download, Object metadata, Versioning, Tags, Storage tier/class, Presigned URLs and more.
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
The simplest config loader for Go that reads/watches from file, env, flag and clouds (AWS, Azure, GCP).
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Pytorch framework for doing deep learning on point clouds.
CloudSlang Language, CLI and Builder
ROS nodes to read and write point clouds from and to files (e.g. ply, vtk).
Multi primitive-to-primitive (MP2P) ICP algorithms in C++
Integrates AI tools into Microsoft Word
An idiomatic, data-driven, REPL friendly clojure client for OCI container engines
Physically based real-time ocean in pure WebGL2: FFT waves, volumetric clouds, rain, squalls, lightning and sound. No image assets.
Filters the robot's body out of point clouds and laser scans.
A graphical user interface to annotate point clouds and 3D data.
Parallel Workflow extension for Rake, runs on multicores, clusters, clouds.
Cloud-enabled backup and restore tool for Apache Cassandra
Curated list of Cyber Security acronyms & abbreviations
Cumulus. Threat modeling the Clouds.
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