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bobonice's Projects

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

clump icon clump

Code Library to generate Universal Multi-sphere Particles

eme icon eme

A dual-GPU DEM solver with complex grain geometry support

kubric icon kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

liggghts-inl icon liggghts-inl

LIGGGHTS-INL is a capability-extended adaptation of the LIGGGHTS Open Source Discrete Element Method (DEM) Particle Simulation Software based on LIGGGHTS release version 4.0.0.

liggghts_flexible_fibers icon liggghts_flexible_fibers

This is a modified version of LIGGGHTS that includes granular bond formulations. The original version of LIGGGHTS produced by CFDEM can be found here: https://github.com/CFDEMproject/LIGGGHTS-PUBLIC

openpnm icon openpnm

A Python package for performing pore network modeling of porous media

packing-generation icon packing-generation

Hard-sphere packing generation with the Lubachevsky–Stillinger, Jodrey–Tory, and force-biased algorithms and packing post-processing.

porousmediaanalysis icon porousmediaanalysis

The program allows segmentation of void space in porous materials into pores and throats and computation of geodesic distances

pybamm icon pybamm

Fast and flexible physics-based battery models in Python

pygran icon pygran

A DEM toolkit for rapid simulation & quantitative analysis of granular systems

rcp icon rcp

Random Close Packing codes

saa icon saa

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

samu icon samu

Segment anything UI for annotations

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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