Metadata-Version: 2.1
Name: pyDSA-core
Version: 1.2.0
Summary: Python Drop Shape Analyzer
Home-page: https://framagit.org/gabylaunay/pyDSA_core
Author: Gaby Launay
Author-email: gaby.launay@protonmail.com
License: UNKNOWN
Keywords: DSA drop shape contact angle hysteresis
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Programming Language :: Python :: 3.5
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: POSIX :: Linux
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: opencv-python
Requires-Dist: scipy
Requires-Dist: imageio
Requires-Dist: scikit-image
Requires-Dist: IMTreatment (==1.2.0)

<div align="center">
  <img width=500px" src="https://framagit.org/gabylaunay/pyDSA_core/raw/master/branding/pyDSA_logo_python_text.svg"><br><br>
</div>

# PyDSA_core: python3 package for drop shape analysis.

## Features

PyDSA_core allow to import videos and images of droplets and to get their properties, including

  - Drop edges positions
  - Contact angles
  - Contact angle hysteresis
  - Radius
  - Volume
  - Triple point positions (for SLIPS surfaces)
  - ...

A Graphical interface is also available [here](https://framagit.org/gabylaunay/pyDSA_gui).

A tutorial is available [here](https://gabylaunay.github.io/Python-cookbook/).

## Dependencies

pyDSA_core relies on matplotlib, numpy, scipy, IMTreatment and OpenCV.

## Installation

``pip install pydsa_core``

To update pyDSA_core, use:

``pip install -U pydsa_core``

## Citing this software

If PyDSA_core have been usefull for you, please consider citing it:
```
Launay G. PyDSA: Drop shape analysis in Python, 2018-, https://framagit.org/gabylaunay/pyDSA_core [Online; accessed <today>].
```

bibtex entry:
``` bibtex
@Misc{launay_pydsa_2018,
  author =    {Gaby Launay},
  title =     {{PyDSA}: Drop shape analysis in {Python}},
  year =      {2018--},
  url = "https://framagit.org/gabylaunay/pyDSA_core",
  note = {[Online; accessed <today>]}
}

```


