MapReader
MapReader: Open software for the visual analysis of maps - Published in JOSS (2024)
Science Score: 100.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 8 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: acm.org, joss.theoj.org, zenodo.org -
✓Committers with academic emails
4 of 18 committers (22.2%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Keywords from Contributors
Scientific Fields
Repository
A computer vision pipeline for exploring and analyzing images at scale
Basic Info
- Host: GitHub
- Owner: maps-as-data
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://mapreader.readthedocs.io/en/latest/
- Size: 440 MB
Statistics
- Stars: 118
- Watchers: 9
- Forks: 17
- Open Issues: 83
- Releases: 9
Topics
Metadata Files
README.md
MapReader
Table of Contents
What is MapReader?
MapReader is a open-source python library for exploring and analyzing map images at scale.
It contains two different pipelines:
- Classification pipeline: This pipeline enables users to fine-tune a classification model and predict the labels of patches created from a parent image.
- Text spotting pipeline: This pipeline enables users to detect and recognize text in map images.
MapReader was developed in the Living with Machines project to analyze large collections of historical maps but is a generalizable computer vision tool which can be applied to any images in a wide variety of domains.
Overview
MapReader classification pipeline
The MapReader classification pipeline enables users to train a classification model to recognize visual features within map images and to identify patches containing these features across entire map collections:
MapReader text spotting pipeline
The MapReader text spotting pipeline enables users to detect and recognize text in map images using a pre-trained text spotting model:
Documentation
The MapReader documentation can be found at https://mapreader.readthedocs.io/en/latest/.
New users should refer to the Installation instructions and Input guidance for help with the initial set up of MapReader.
All users should refer to our User Guide for guidance on how to use MapReader. This contains end-to-end instructions on how to use the MapReader pipeline.
Developers and contributors may also want to refer to the API documentation and Contribution guide for guidance on how to contribute to the MapReader package.
Stay in touch
All users are encouraged to join our community! Please refer to the Community and contributions page for information on ways to get involved.
Join our Slack workspace! Please fill out this form to receive an invitation to the Slack workspace.
What is included in this repo?
This repository contains everything needed for running MapReader.
The repository is structured as follows:
mapreader/: Contains the source code for the MapReader library.docs/: Contains the documentation for the MapReader library.tests/andtest_text_spotting/: Contains the tests for the MapReader library.
What is not included in this repo?
Our worked examples can be found in the mapreader-examples repository.
We also have a number of other MapReader and map related repositories which can be found on the maps-as-data GitHub organisation page.
How to cite MapReader
If you use MapReader in your work, please cite: - Our JOSS paper - to acknowledge the software irrespective of the version you used. - Our Zenodo record - to acknowledge the specific version of the software you used (or use the "Cite all versions?" option if your specific version isn't there). - Optionally, our SIGSPATIAL paper to acknowledge the development of the software and the research behind it.
Acknowledgements
This work was supported by Living with Machines (AHRC grant AH/S01179X/1), Data/Culture (AHRC grant AH/Y00745X/1) and The Alan Turing Institute (EPSRC grant EP/N510129/1).
Living with Machines, funded by the UK Research and Innovation (UKRI) Strategic Priority Fund, is a multidisciplinary collaboration delivered by the Arts and Humanities Research Council (AHRC), with The Alan Turing Institute, the British Library and the Universities of Cambridge, East Anglia, Exeter, and Queen Mary University of London.
Maps above reproduced with the permission of the National Library of Scotland https://maps.nls.uk/index.html
Contributors
Katie McDonough 🔬 🤔 📖 📆 👀 📢 ✅ |
Daniel C.S. Wilson 🔬 🤔 📢 📖 |
Kasra Hosseini 💻 🤔 🔬 👀 📢 |
Rosie Wood 💻 📖 🤔 📢 ✅ 👀 🚧 🔬 |
Kalle Westerling 💻 📖 🚧 👀 📢 |
Chris Fleet 🔣 |
Kaspar Beelen 🤔 👀 🔬 |
Andy Smith 💻 📖 🧑🏫 👀 |
Adam Cox 💻 ⚠️ |
Owner
- Name: Maps as Data
- Login: maps-as-data
- Kind: organization
- Repositories: 1
- Profile: https://github.com/maps-as-data
JOSS Publication
MapReader: Open software for the visual analysis of maps
Authors
Tags
image classification computer vision deep learning computational humanities digital humanities maps historyCitation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: MapReader
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Kaspar
family-names: Beelen
email: kaspar.beelen@sas.ac.uk
affiliation: 'School of Advanced Studies, University of London'
orcid: 'https://orcid.org/0000-0001-7331-1174'
- given-names: Kasra
family-names: Hosseini
email: k.hosseinizad@gmail.com
orcid: 'https://orcid.org/0000-0003-4396-6019'
- given-names: Katherine
family-names: McDonough
email: k.mcdonough@lancaster.ac.uk
affiliation: Lancaster University
orcid: 'https://orcid.org/0000-0001-7506-1025'
- given-names: Andrew
family-names: Smith
orcid: 'https://orcid.org/0000-0002-4465-2284'
affiliation: The Alan Turing Institute
email: a.smith@turing.ac.uk
- given-names: Daniel C. S.
family-names: Wilson
email: dwilson@turing.ac.uk
affiliation: The Alan Turing Institute
orcid: 'https://orcid.org/0000-0001-6886-775X'
- given-names: Rosie
family-names: Wood
affiliation: The Alan Turing Institute
email: rwood@turing.ac.uk
orcid: 'https://orcid.org/0000-0003-1623-1949'
- given-names: Kalle
family-names: Westerling
email: kwesterling@turing.ac.uk
affiliation: The Alan Turing Institute
orcid: 'https://orcid.org/0000-0002-2014-332X'
identifiers:
- type: url
value: >-
https://github.com/Living-with-machines/MapReader/releases/tag/v1.0.1
description: The GitHub release URL of tag 1.0.1
- type: url
value: 'https://arxiv.org/abs/2111.15592'
description: MapReader paper on arxiv
- type: doi
value: 10.1145/3557919.3565812
description: ACM SIGSPATIAL Geohumanities 2022 Proceedings DOI
repository-code: 'https://github.com/Living-with-machines/MapReader'
url: 'https://mapreader.readthedocs.io/en/latest/'
abstract: >-
MapReader was developed in the Living with Machines
project to analyze large collections of historical maps
but is a generalizable computer vision pipeline which can
be applied to any images in a wide variety of domains.
keywords:
- maps
- computational humanities
- Living with Machines
- cultural heritage
- computer vision
license: MIT
GitHub Events
Total
- Issues event: 47
- Watch event: 27
- Delete event: 21
- Issue comment event: 96
- Push event: 133
- Pull request review comment event: 18
- Pull request review event: 17
- Pull request event: 46
- Fork event: 7
- Create event: 29
Last Year
- Issues event: 47
- Watch event: 27
- Delete event: 21
- Issue comment event: 96
- Push event: 133
- Pull request review comment event: 18
- Pull request review event: 17
- Pull request event: 46
- Fork event: 7
- Create event: 29
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Rosie Wood | r****d@t****k | 1,069 |
| kasra-hosseini | k****i@t****k | 203 |
| Katie McDonough | k****2@g****m | 78 |
| Kalle Westerling | k****g@g****m | 78 |
| Kalle Westerling | k****g@b****k | 62 |
| Andy Smith | a****h | 51 |
| allcontributors[bot] | 4****] | 30 |
| Daniel C.S. Wilson | 3****2 | 18 |
| ChristinaLast | c****t@o****m | 11 |
| Fan Yang | f****r@b****k | 6 |
| dependabot[bot] | 4****] | 5 |
| Adam Cox | m****x@g****m | 4 |
| kasparvonbeelen | k****n@m****l | 3 |
| Ubuntu | k****i@p****t | 3 |
| Kasra Hosseini | k****i@z****e | 3 |
| Elizabeth DuPre | e****2@c****u | 2 |
| Evangeline Corcoran | 8****n | 1 |
| OSHistory | 9****y | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 79
- Total pull requests: 73
- Average time to close issues: 7 months
- Average time to close pull requests: 3 months
- Total issue authors: 14
- Total pull request authors: 10
- Average comments per issue: 1.76
- Average comments per pull request: 1.67
- Merged pull requests: 57
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 35
- Pull requests: 45
- Average time to close issues: 2 months
- Average time to close pull requests: 10 days
- Issue authors: 8
- Pull request authors: 7
- Average comments per issue: 1.23
- Average comments per pull request: 1.36
- Merged pull requests: 36
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- rwood-97 (26)
- kmcdono2 (11)
- kasra-hosseini (6)
- ChristinaLast (5)
- kallewesterling (5)
- kmlilley (2)
- andrewphilipsmith (2)
- DGalexander (2)
- mradamcox (1)
- kflau2 (1)
- dcsw2 (1)
- iamliamdt (1)
- MonikaBarget (1)
- sergejfr23 (1)
Pull Request Authors
- rwood-97 (63)
- kallewesterling (13)
- andrewphilipsmith (4)
- kasra-hosseini (3)
- mradamcox (2)
- OSHistory (2)
- allcontributors[bot] (2)
- DGalexander (2)
- st7ma784 (2)
- ChristinaLast (1)
Top Labels
Issue Labels
Pull Request Labels
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