https://github.com/fhooeaist/imaging-paper

https://github.com/fhooeaist/imaging-paper

Science Score: 23.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.4%) to scientific vocabulary
Last synced: 8 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: FHOOEAIST
  • License: mpl-2.0
  • Language: Java
  • Default Branch: main
  • Size: 11.7 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 5 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

README.md

Imaging Framework Paper

Replication repository for Imaging Framework paper.

Getting Started

Run the tests using Maven and Java 11 by executing the following command:

bash mvn clean test

Contributing

First make sure to read our general contribution guidelines.

Licence

Copyright (c) 2021 the original author or authors. DO NOT ALTER OR REMOVE COPYRIGHT NOTICES.

This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at https://mozilla.org/MPL/2.0/.

Research

If you are going to use this project as part of a research paper, we would ask you to reference this project by citing it.

DOI

Additionally, this work was used in the following publications: - Praschl, C., Pointner, A., Baumgartner, D., & Zwettler, G. A. (2021). Imaging framework: An interoperable and extendable connector for image-related Java frameworks. SoftwareX, 16, 100863.

Owner

  • Name: Advanced Information Systems and Technology
  • Login: FHOOEAIST
  • Kind: organization
  • Email: contact@aist.science
  • Location: University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria

The research group AIST researches software solutions in the fields of eHealth, Machine Learning and Data Mining as well as Computer Vision.

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Dependencies

pom.xml maven
  • org.projectlombok:lombok 1.18.20 provided
  • science.aist.imaging:core 1.2.0
  • science.aist.imaging:opencv 1.2.0
  • science.aist.imaging:openimaj 1.2.0
  • org.testng:testng 7.4.0 test