Blender scripts for computing geodesic distance

Overview

GeoDoodle

Geodesic distance computation for Blender meshes

Table of Contents

  1. Overivew
  2. Usage
  3. Implementation

Overview

This addon provides an operator for computing geodesic distances on general meshes (ngons and triangular).

Geodesic distance describes a shortest path from any point on the surface to some boundary, e.g. a selected vertex. It can differ from simple Euclidian distance significantly.

Prerequisites

The addon uses the SciPy math library for efficient sparse matrix computations.

SciPy is not shipped with the Python installation in Blender, so you may need to install the package once. A convenient method is to use the text editor.

Note: You may need to run Blender in administrator mode for permissions to install into the packages folder!

  1. Open Blender.

  2. Open a text editor window and create a new text.

  3. Paste in the following code and execute the script:

    import sys
    import subprocess
    
    py_exec = sys.executable
    py_prefix = sys.exec_prefix
    # ensure pip is installed & update
    subprocess.call([str(py_exec), "-m", "ensurepip", "--user"])
    subprocess.call([str(py_exec), "-m", "pip", "install", "--target={}".format(py_prefix), "--upgrade", "pip"])
    # install dependencies using pip
    # dependencies such as 'numpy' could be added to the end of this command's list
    subprocess.call([str(py_exec),"-m", "pip", "install", "--target={}".format(py_prefix), "scipy"])
    

    Source: https://blender.stackexchange.com/a/153520

Usage

  1. Create a mesh object.

  2. Add a boundary vertex group. The default name should be "Boundary", although the operator can work with arbitrary vertex groups.

    Procedurally generated vertex groups are also supported (e.g. with a proximity modifier). However, topology modifiers such as subdivision are not recommended because the operator will copy the modifier result to the base mesh.

  3. Select the mesh object.

  4. Invoke the Geodesic Distance operator from the dropdown next to the vertex group list.

Implementation

The implementation is based on the Heat Method as described by Crane et al. 1. The Laplacian for polygonal meshes is described in the paper "Polygon laplacian made simple" 2.

1: Crane, Keenan, Clarisse Weischedel, and Max Wardetzky. "Geodesics in heat: A new approach to computing distance based on heat flow." ACM Transactions on Graphics (TOG) 32.5 (2013): 1-11.

2: Bunge, Astrid, et al. "Polygon laplacian made simple." Computer Graphics Forum. Vol. 39. No. 2. 2020.

GPT, but made only out of gMLPs

GPT - gMLP This repository will attempt to crack long context autoregressive language modeling (GPT) using variations of gMLPs. Specifically, it will

Phil Wang 80 Dec 01, 2022
CARL provides highly configurable contextual extensions to several well-known RL environments.

CARL (context adaptive RL) provides highly configurable contextual extensions to several well-known RL environments.

AutoML-Freiburg-Hannover 51 Dec 28, 2022
Flax is a neural network ecosystem for JAX that is designed for flexibility.

Flax: A neural network library and ecosystem for JAX designed for flexibility Overview | Quick install | What does Flax look like? | Documentation See

Google 3.9k Jan 02, 2023
Repo 4 basic seminar §How to make human machine readable"

WORK IN PROGRESS... Notebooks from the Seminar: Human Machine Readable WS21/22 Introduction into programming Georg Trogemann, Christian Heck, Mattis

experimental-informatics 3 May 29, 2022
UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

UnivNet UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation. Training python train.py --c

Rishikesh (ऋषिकेश) 55 Dec 26, 2022
Recursive Bayesian Networks

Recursive Bayesian Networks This repository contains the code to reproduce the results from the NeurIPS 2021 paper Lieck R, Rohrmeier M (2021) Recursi

Robert Lieck 11 Oct 18, 2022
Unbalanced Feature Transport for Exemplar-based Image Translation (CVPR 2021)

UNITE and UNITE+ Unbalanced Feature Transport for Exemplar-based Image Translation (CVPR 2021) Unbalanced Intrinsic Feature Transport for Exemplar-bas

Fangneng Zhan 183 Nov 09, 2022
Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

Self-Supervised-MVS This repository is the official PyTorch implementation of our AAAI 2021 paper: "Self-supervised Multi-view Stereo via Effective Co

hongbin_xu 127 Jan 04, 2023
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

3D Infomax improves GNNs for Molecular Property Prediction Video | Paper We pre-train GNNs to understand the geometry of molecules given only their 2D

Hannes Stärk 95 Dec 30, 2022
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

Yasunori Shimura 7 Oct 31, 2022
Pipeline code for Sequential-GAM(Genome Architecture Mapping).

Sequential-GAM Pipeline code for Sequential-GAM(Genome Architecture Mapping). mapping whole_preprocess.sh include the whole processing of mapping. usa

3 Nov 03, 2022
YOLOv5 in PyTorch > ONNX > CoreML > TFLite

This repository represents Ultralytics open-source research into future object detection methods, and incorporates lessons learned and best practices evolved over thousands of hours of training and e

Ultralytics 34.1k Dec 31, 2022
Train DeepLab for Semantic Image Segmentation

Train DeepLab for Semantic Image Segmentation Martin Kersner, [email protected]

Martin Kersner 172 Dec 14, 2022
Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"

Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter Code and checkpoints for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling

274 Dec 06, 2022
Tackling Obstacle Tower Challenge using PPO & A2C combined with ICM.

Obstacle Tower Challenge using Deep Reinforcement Learning Unity Obstacle Tower is a challenging realistic 3D, third person perspective and procedural

Zhuoyu Feng 5 Feb 10, 2022
DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

sunset 709 Dec 31, 2022
an Evolutionary Algorithm assisted GAN

EvoGAN an Evolutionary Algorithm assisted GAN ckpts

3 Oct 09, 2022
Syntax-Aware Action Targeting for Video Captioning

Syntax-Aware Action Targeting for Video Captioning Code for SAAT from "Syntax-Aware Action Targeting for Video Captioning" (Accepted to CVPR 2020). Th

59 Oct 13, 2022
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

912 Jan 08, 2023
R interface to fast.ai

R interface to fastai The fastai package provides R wrappers to fastai. The fastai library simplifies training fast and accurate neural nets using mod

113 Dec 20, 2022