Data

Tools

Indexes

Applications

Experiments

Open Source Science

conductive-fiducial-marker-simulation-toolkit

https://github.com/mimuc/conductive-fiducial-marker-simulation-toolkit

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.0%) to scientific vocabulary
Last synced: 8 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: mimuc
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 21.3 MB
Statistics
  • Stars: 0
  • Watchers: 9
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Conductive-Fiducial-Marker-Simulation-Toolkit

Required packages

https://github.com/pvigier/perlin-numpy

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
date-released: 2022-08-03
authors:
  - family-names: Steuerlein
    orcid: 'https://orcid.org/0000-0002-6569-6868'
    affiliation: University of Stuttgart
    email: st111340@stud.uni-stuttgart.de
    given-names: Benedict
  - family-names: Mayer
    orcid: 'https://orcid.org/0000-0001-5462-8782'
    affiliation: LMU Munich
    email: info@sven-mayer.com
    given-names: Sven
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "Conductive Fiducial Tangibles for Everyone: A Data Simulation-Based Toolkit using Deep Learning"
type: software
doi: 10.1145/3546718
url: "https://github.com/mimuc/Conductive-Fiducial-Marker-Simulation-Toolkit"

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Dependencies

requirements.txt pypi
  • imutils ==0.5.4
  • ipython ==8.4.0
  • matplotlib ==3.5.2
  • numpy ==1.23.1
  • opencv_python ==4.6.0.66
  • pandas ==1.4.3
  • scikit_learn ==1.1.1
  • tensorflow >=2.5
  • tqdm ==4.64.0
  • wget ==3.2