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25–48 of 79 · Most stars

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Zenko CloudServer, an open-source Node.js implementation of the Amazon S3 protocol on the front-end and backend storage capabilities to multiple clouds, including Azure and Google.

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

  • catkin
  • velodyne-sensor
  • segmentation
  • clustering

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

  • 3d-object-detection
  • lidar-point-cloud
  • bevmap
  • center

TranslatedImage-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser. Image-driven 3D scene generation system

  • 3d
  • gaussian-filter
  • gaussian-splatting

Real-time WebGPU ocean renderer written from scratch, no engine. FFT waves, whitecaps, sun glitter, physically based sunset sky with clouds, free camera. Built with Claude Code (Opus 5.5). Opens from a single 61 KB HTML file in Chrome.

Polygonal Surface Reconstruction from Point Clouds (C++ & Python)

  • surface-reconstruction
  • urban-modeling
  • urban-reconstruction
  • primitive-extraction

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

  • semantic-segmentation
  • lidar
  • semantickitti
  • 3d-lidar-data

Replacement for MacOS' volume, brightness and keyboard backlight HUDs.

  • huds
  • volume
  • keyboard-backlight
  • brightness

.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.

  • abstraction
  • aws
  • aws-s3
  • aws-sqs

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).

  • configuration
  • go
  • golang
  • minimalist