Wetting front analysis tool
Project description
WettingFront
WettingFront is a simple and extensible Python package for wetting front analysis.
Usage
Store analysis parameters in configuration file (YAML or JSON).
data1:
type: Unidirectional
model: Washburn
path: your-video.mp4
output-vid: result.mp4
output-data: result.csv
data2:
type: MyType
my-parameters: ...
data3:
...
Pass the file to command:
$ wettingfront analyze config.yml
You can also define your own analysis type by writing a plugin.
Installation
WettingFront can be installed using pip
.
$ pip install wettingfront
To access image processing features, install with optional dependency [img]
.
$ pip install wettingfront[img]
Other optional dependencies are listed in manual.
Documentation
Wettingfront 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.
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