Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.9%) to scientific vocabulary
Keywords
Repository
Image Processing with Python
Basic Info
- Host: GitHub
- Owner: datacarpentry
- License: other
- Language: HTML
- Default Branch: main
- Homepage: https://datacarpentry.org/image-processing
- Size: 165 MB
Statistics
- Stars: 109
- Watchers: 19
- Forks: 124
- Open Issues: 12
- Releases: 2
Topics
Metadata Files
README.md
Image Processing with Python
A lesson teaching foundational image processing skills with Python and scikit-image.
Lesson Content
This lesson introduces fundamental concepts in image handling and processing. Learners will gain the skills needed to load images into Python, to select, summarise, and modify specific regions in these images, and to identify and extract objects within an image for further analysis.
The lesson assumes a working knowledge of Python and some previous exposure to the Bash shell.
A detailed list of prerequisites can be found in learners/prereqs.md.
Contribution
- Make a suggestion or correct an error by raising an Issue.
Please see the CONTRIBUTING.md file for contributing guidelines and details on how to get involved with this project. Some specific guidelines for content / style are provided in the 'What to Contribute (This Lesson)' section.
Code of Conduct
All participants should agree to abide by the The Carpentries Code of Conduct.
Lesson Maintainers
The Image Processing with Python lesson is currently being maintained by:
The lesson is built on content originally developed by Mark Meysenburg, Tessa Durham Brooks, Dominik Kutra, Constantin Pape, and Erin Becker.
Owner
- Name: Data Carpentry
- Login: datacarpentry
- Kind: organization
- Email: team@carpentries.org
- Website: https://datacarpentry.org/
- Repositories: 89
- Profile: https://github.com/datacarpentry
Workshops teaching scientists basic skills for retrieving, viewing, managing, and manipulating data in an open and reproducible way.
GitHub Events
Total
- Issues event: 6
- Watch event: 10
- Delete event: 15
- Issue comment event: 57
- Push event: 93
- Pull request review comment event: 46
- Pull request review event: 36
- Pull request event: 20
- Fork event: 7
- Create event: 15
Last Year
- Issues event: 6
- Watch event: 10
- Delete event: 15
- Issue comment event: 57
- Push event: 93
- Pull request review comment event: 46
- Pull request review event: 36
- Pull request event: 20
- Fork event: 7
- Create event: 15
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 5
- Total pull requests: 7
- Average time to close issues: almost 4 years
- Average time to close pull requests: about 2 months
- Total issue authors: 5
- Total pull request authors: 6
- Average comments per issue: 1.0
- Average comments per pull request: 5.29
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 3
- Pull requests: 6
- Average time to close issues: N/A
- Average time to close pull requests: 12 days
- Issue authors: 3
- Pull request authors: 5
- Average comments per issue: 0.0
- Average comments per pull request: 3.0
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- tobyhodges (2)
- marcodallavecchia (2)
- karlheger (1)
- shaw2thefloor (1)
- ErinBecker (1)
- uschille (1)
- K-Meech (1)
Pull Request Authors
- JeremyPike (4)
- uschille (3)
- tobyhodges (2)
- carpentries-bot (2)
- K-Meech (2)
- marcodallavecchia (2)
- maneesha (1)
- karlheger (1)
- nanosec (1)
- GParolini (1)
- mkcor (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
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