Skip to main content

Wetting front analysis tool

Project description

WettingFront

License CI CD Docs Supported Python Versions PyPI Version

title

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:

https://wettingfront.readthedocs.io

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.

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

wettingfront-1.2.0.tar.gz (255.4 kB view hashes)

Uploaded Source

Built Distribution

wettingfront-1.2.0-py3-none-any.whl (252.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page