Metadata-Version: 2.4
Name: eQuimage
Version: 1.7.0
Summary: eQuimage is a tool to postprocess astronomical images from Unistellar telescopes.
Author-email: Yann-Michel Niquet <contact@ymniquet.fr>
License-Expression: GPL-3.0-or-later
Project-URL: homepage, https://astro.ymniquet.fr/
Project-URL: repository, https://github.com/ymniquet/eQuimage
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: matplotlib>=3.0
Requires-Dist: scipy
Requires-Dist: pywavelets
Requires-Dist: pillow
Requires-Dist: tifffile
Requires-Dist: imagecodecs
Requires-Dist: astropy
Requires-Dist: scikit-image>=0.21.0
Requires-Dist: PyGObject>=3.0
Requires-Dist: dask
Dynamic: license-file

### eQuimage is a python tool to postprocess astronomical images from Unistellar telescopes

Author: Yann-Michel Niquet (https://astro.ymniquet.fr)

### Installation

eQuimage is developed in Python 3 with a GTK3 graphical user interface. Python 3 and the GTK3 library are available in all Linux distributions; on Windows, follow https://www.gtk.org/docs/installations/windows/ for GTK3. To install the latest version of eQuimage, open a linux terminal/windows command prompt and run:

  `pip install --user eQuimage`

pip will automatically download eQuimage and the missing python modules if necessary (matplotlib, etc...). You can then launch eQuimage by typing:

  `eQuimage`

in this same terminal. You can also create a link to eQuimage from your desktop; an icon is distributed for this purpose with the python package.

### Usage

This code has no claim and only offers elementary operations compared to other more advanced image processing or astrophotography software (GIMP, SIRIL, PixInsight, etc...). Among its specific features, eQuimage can
  - highlight the pixels "blackened" or saturated by the treatments (in each R/G/B channel),
  - leave the frame of the Unistellar images unprocessed (option only implemented to date for the eQuinox 1 telescope, but feel free to contribute or send me sample images from other telescopes !),
  - compare different treatments to help choose the best options,
  - keep track (in a log file) of all operations applied to a given image.

There is no documentation yet, but you should find your way around easily if you have used image processing software before. The python code itself is documented in English.

### Known bugs

