Goddard Image Analysis and Navigation Tool

Related tags

Image Processinggiant
Overview

Copyright 2021 United States Government as represented by the Administrator of the National Aeronautics and Space Administration. No copyright is claimed in the United States under Title 17, U.S. Code. All Other Rights Reserved.

The Goddard Image Analysis and Navigation Tool (GIANT) is a collection of utilities and scripts that aims to make all aspects of Optical Navigation (OpNav) and Camera Calibration easy.

To install it is recommended that you use the mamba-forge python distribution/package manager.

More detailed instructions can be found in the GIANT documentation (documentation/html/index.html or https://aliounis.github.io/giant.github.io/installation.html)

The first thing to do is to download the GIANT git repository:

git clone [email protected]:nasa/giant.git

Once the download is complete, cd into the new giant directory

cd giant

GIANT is designed to work with python 3.5+ so it is likely that we will need to create a new environment in mamba for our work. To create an environment from the terminal (or mamba prompt for windows) simply type

mamba create -n giant_env python=3 opencv matplotlib scipy pandas numpy cython pyqt astropy lxml sphinx spiceypy c-compiler openmp astroquery dill psutil imagemagick

which will create a virtual environment with python and all of the usual python tools (setuptools, pip, etc). Once the virtual environment has been created you can run

conda activate giant_env

to activate the environment. Activating the environment basically adjusts your paths/aliases so that "python", "pip", etc now point to the virtual environment executables.

If you are on OSX you will also likely need to set the environment variable CPATH

export CPATH=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/usr/include

or

export CPATH=/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include

to set where to find the system headers.

With our GIANT environment activated we are good to install GIANT. GIANT is installed like any normal python package. Simply navigate to the root directory of GIANT and type (note that we use the develop option here because GIANT is still under development and this allows you to update with a simple git pull.

cd giant
python setup.py develop

This will install the GIANT package to your virtual environment along with all of its dependencies. Once GIANT is installed you can run some basic tests to make sure everything is working by entering the unittests directory and typing

cd unittests
python -Wignore -m unittest discover

This might return some warnings but at the end of it all it should say "ok" and something about all of the tests passing.

GIANT is now installed and you can begin navigating.

See the GIANT documentation (documentation/html/index.html or https://aliounis.github.io/giant.github.io/) for more information.

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Releases(v1.0.5)
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NASA
Read about NASA's Open Data initiative here: https://www.nasa.gov/open/ & Members Find Instructions here: http://nasa.github.io/
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GitHub Repository
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