Image analysis for finite depth dip coating process
Project description
DipCoatImage-FiniteDepth
DipCoatImage-FiniteDepth is a simple and extensible Python package to analyze dip coating with finite immersion depth.
Usage
Store analysis parameters in configuration file (YAML or JSON).
data1:
type: CoatingImage
referencePath: ref.png
targetPath: target.png
output:
layerData: output/data.csv
data2:
type: MyType
my-parameters: ...
data3:
...
Pass the file to command:
$ finitedepth analyze config.yml
You can also define your own analysis type by writing a plugin.
Installation
DipCoatImage-FiniteDepth can be installed using pip
.
$ pip install dipcoatimage-finitedepth
Optional dependencies are listed in manual.
Documentation
DipCoatImage-FiniteDepth is documented with Sphinx. The manual can be found on Read the Docs:
If you want to build the document yourself, get the source code and install with [doc]
dependency.
Then, go to doc
directory and build the document:
$ pip install .[doc]
$ cd doc
$ make html
Document will be generated in build/html
directory. Open index.html
to see the central page.
Citation
If you use this package in a scientific publication, please cite the following paper:
@article{song2023measuring,
title={Measuring coating layer shape in arbitrary geometry},
author={Song, Jisoo and Yu, Dongkeun and Jo, Euihyun and Nam, Jaewook},
journal={Physics of Fluids},
volume={35},
number={12},
year={2023},
publisher={AIP Publishing}
}
Project details
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