MATS-L1-processing

Code for calibration of MATS images

Description

This package contains two modules, one for level-1 calibration (mats_l1_processing) of MATS data and one for generating the database to use in this calibration (database_generation).

Installation

1. Install pip in your current envirnoment (e.g. $conda install pip )
2. run $pip install . or $pip install -e . if you want to do development for the package

3. Add calibration_data and testdata folder from box (Calibration/CalibrationSoftware/testdata) to root folder. https://chalmersuniversity.box.com/s/d25rklkjtw9shsayff3g34sryru6piv8

4. run pytest by typing "pytest" in root folder

Detailed instruction for Windows

1. Download Anaconda navigator and update to newest version

2. Download git for windows

3. Make user account on github.com

4. Make ssh-key in git-bash:

   $ssh-keygen -t ed25519 -C "user@mail.com" copy keys to .ssh folder in user home directory add config file to .ssh in user home directory

   "Host github.com IdentityFile ~.ssh/github"

   test with $ssh -T git@github.com add public key to github user preferences

5. Setup user in git-bash:

   $git config --global user.name "UserName" $git config --global user.email "email@mail.com"

6. Clone repository

   $git clone git@github.com:innosat-mats/MATS-L1-processing.git

7. Download test and calibraiton data from box and put into root folder of package

8. Setup conda environment

   $conda create -n python=3.9 $conda install pip

9. Install package

   $pip install -e .

10. Test module

    $pytest

Note

This project has been set up using PyScaffold 4.0.1. For details and usage information on PyScaffold see https://pyscaffold.org/.