A visualisation engine for particle simulations
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Updated
Sep 18, 2024 - Python
A visualisation engine for particle simulations
An easy-to-use and robust library for seamless interaction with OAK cameras and the DepthAI API. It aims to bridge the gap between the DepthAI API and SDK, allowing for built-in integration with OpenCV and Open3D "out-of-the-box."
Stereo camera depth estimation with opencv and visualization in Open3D on jetson nano with CUDA support
Semantic3D segmentation with Open3D and PointNet++
Addon to import different photogrammetry formats into Blender
This repository contains the code developed for my MSc project titled "Exploring Photogrammetry for High-Fidelity 3D Model Generation: A Power Grid Inspection Study", as well as some of the results. The thesis was written in collaboration with SINTEF, and the degree issued by DTU. The full thesis can be downloaded from the below link.
Lidar Obstacle Detection using RANSAC and DBSCAN
Three workflows based on aerial imagery or LiDAR point clouds to evaluate the surface available on rooftops by detecting objects.
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
Use the power of the Ope3d library with the visual scripting environment of Sverchok inside Blender
A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
visualization点云可视化(open3D, mayavi, rviz(ros), PCL等)
A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm
A Python Library to age 3d models by simulating the effects of weather
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