image-processing

Image Processing with Python

https://github.com/datacarpentry/image-processing

Science Score: 26.0%

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    Low similarity (9.9%) to scientific vocabulary

Keywords

carpentries computer-vision data-carpentry english image-processing imageio lesson open-educational-resources python scikit-image skimage stable
Last synced: 6 months ago · JSON representation

Repository

Image Processing with Python

Basic Info
Statistics
  • Stars: 109
  • Watchers: 19
  • Forks: 124
  • Open Issues: 12
  • Releases: 2
Topics
carpentries computer-vision data-carpentry english image-processing imageio lesson open-educational-resources python scikit-image skimage stable
Created almost 9 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation Authors Zenodo

README.md

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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

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

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
help wanted (2) type:template and tools (1) type:clarification (1) type:accessibility (1) type:enhancement (1)
Pull Request Labels
type: template and tools (2)

Dependencies

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