Published January 27, 2023
| Version v2023.01.1
Lesson
Open
datacarpentry/image-processing: Data Carpentry: Image Processing with Python, January 2023 (v1.0.0)
Creators
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Toby Hodges
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Dominik Kutra
- Mark Meysenburg
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Ulf Schiller
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Erin Alison Becker
- Robert Turner
- David Palmquist
- Tessa Durham Brooks
- Erin Doyle
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Raychelle Burks
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Marianne Corvellec
- Constantin Pape
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Elizabeth Wickes
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Kimberly Meechan
- Erick Martins Ratamero
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Florian Goth
- Christian "Tischi" Tischer
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Markus J. Ankenbrand
- Felix Shaw
- gepcel
- Gus Hahn-Powell
- Jeffrey D'Angelo
- Saurish Srivastava
- lenciabeltran
- Chris Hill
Contributors
Description
This workshop teaches the concepts and skills needed to write automated processing pipelines for image data. Using examples from morphometrics, the curriculum covers the steps of a typical image processing workflow: loading images, masking, blurring and thresholding data, and ends with a capstone challenge to provide a chance for additional practice. The curriculum uses a variety of example images that do not require any domain-specific knowledge. However, it does require learners to have gained some familiarity with the Python programming language, such as by attending a Software Carpentry workshop, a Data Carpentry: Ecology or a Data Carpentry: Social Sciences workshop.
Files
datacarpentry/image-processing-v2023.01.1.zip
Files
(68.5 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/datacarpentry/image-processing/tree/v2023.01.1 (URL)