GraXpert is an astronomical image processing program for extracting and removing gradients in the background of your astrophotos. We provide several methods traditional interpolation methods such as Radial Basis Functions (RBF), Splines and Kriging which require the user to manually select sample points in the background of the image. Our newest addition is an AI method which does not require any user input.
| Original | Gradients removed with AI |
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Homepage: https://www.graxpert.com
Download: https://github.com/Steffenhir/GraXpert/releases/latest
You can download the latest official release of GraXpert here. Select the correct version for your operating system. For macOS, we provide different versions for Intel processors (x86_64) and for apple silicon (arm64).
Windows: After downloading the .exe file, you should be able to start it directly.
Linux: Before you can start GraXpert, you have to make it executable by running chmod u+x ./GraXpert-linux
macOS: After opening the .dmg file, simply drag the GraXpert icon into the applications folder. GraXpert can now be started from the applications folder.
GraXpert comes with a graphical user interface. However, the AI method which does not need the selection of any background sample points can also be executed from the command line. Here are the available command-line arguments and their descriptions:
- filename: The path of the unprocessed image (required).
- -cli: This flag always has to be added when using the command line integration of GraXpert. Otherwise, the GUI will start and open the specified file name.
- -output [output_file_name]: Specify the name of the output image (without file ending). Otherwise the image will be saved with the suffix '_GraXpert' added to the original file name.
- -ai_version [version]: Specify the version of the AI model to use. If not provided, it defaults to the latest available version. You can choose from locally available versions and remotely available versions.
- -correction [type]: Select the background correction method. Options are "Subtraction" (default) or "Division."
- -smoothing [strength]: Adjust the strength of smoothing, ranging from 0.0 (no smoothing) to 1 (maximum smoothing).
- -bg: Also save the generated background model.
The following examples show how GraXpert can be used from the command line in Windows. For Linux and macOS, you have to do the following replacements:
Linux: Replace GraXpert-win64.exe by GraXpert-linux
macOS: Replace GraXpert-win64.exe by GraXpert.app/Contents/MacOS/GraXpert
Basic Usage:
GraXpert-win64.exe my_image.fits -cli
Specify AI Model Version '1.1', correction type 'Division', smoothing '0.1', and save background model:
GraXpert-win64.exe my_image.fits -cli -ai_version 1.1 -correction Division -smoothing 0.1 -bg
This guide will help you get started with development of GraXpert on Windows, Linux, and macOS. Follow these steps to clone the repository, create a virtual environment with Python, install the required packages, and run GraXpert from the source code.
Open your terminal or command prompt and use git to clone the GraXpert repository:
git clone https://github.com/Steffenhir/GraXpert
cd GraXpert
We recommend using a virtual environment to isolate the project's dependencies. Ensure you have Python>=3.10 installed on your system before proceeding. Here's how to set up a virtual environment with Python: Windows:
# Create a new virtual environment with Python 3.10
python -m venv graxpert-env
# Activate the virtual environment
graxpert-env\Scripts\activate
Linux and macOS:
# Create a new virtual environment with Python 3.10
python3 -m venv graxpert-env
# Activate the virtual environment
source graxpert-env/bin/activate
All the requirements can be found in the requirements.txt file. You can install them with:
Windows and Linux:
pip install -r requirements.txt
macOS:
pip3 install -r requirements.txt
"""
For macOS, we have to install tkinter separately.
We use the version provided by brew because it is newer
and solves issues with macOS Sonoma. Please use the version matching with your Python version.
"""
brew install [email protected]
Once you have set up the virtual environment and installed the required packages, you can start GraXpert:
python -m graxpert.main