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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file dipcoatimage-finitedepth-2.0.1.tar.gz
.
File metadata
- Download URL: dipcoatimage-finitedepth-2.0.1.tar.gz
- Upload date:
- Size: 275.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 14c0f3ea58192845620ce87cd127dbfe0a15ee558c3e6f0bd1489dd1bec5a2f6 |
|
MD5 | cf6358e8426fa72a193888ace1317c92 |
|
BLAKE2b-256 | 1d11d4df232827bd68477d20c9df1afc489d8823c7ec53896b458c8a7c4a4351 |
File details
Details for the file dipcoatimage_finitedepth-2.0.1-py3-none-any.whl
.
File metadata
- Download URL: dipcoatimage_finitedepth-2.0.1-py3-none-any.whl
- Upload date:
- Size: 274.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b545ac4938b3d6234ad91b460177f659a441ac91fa88893a33ecc2b9bc85024d |
|
MD5 | 609d9b1c30064591478cb4caec088aa7 |
|
BLAKE2b-256 | 6a46b3383d32cbb9e49739afdbaadded29a35915a5efb6d3bf9f5ebcf38b8906 |