Fixed configuration and README
Signed-off-by: Pierros Papadeas <pierros@papadeas.gr>pull/33/head
Pierros Papadeas
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# Python compiled objects
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*.pyc
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# Emacs backup files
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# IDE files
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*~
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settings.json
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# Configuration file
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configuration.ini
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# Configuration files
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*.ini
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25
README.md
25
README.md
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@ -1,19 +1,32 @@
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# STVID
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**stvid** is a set of *python* programs to detect and identify satellite tracks on video observations of the night sky, and measure the satellite positions to determine and/or update their orbits.
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**stvid** is a set of *python* programs to detect and identify satellite tracks on observations of the night sky, and measure the satellite positions to determine and/or update their orbits.
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This software will take over the satellite tracking functionality of my [sattools](https://github.com/cbassa/sattools). By porting the functionality to *python*, and using [astropy](https://github.com/astropy/astropy), and [opencv](https://opencv-python-tutroals.readthedocs.io/en/latest/), the software is easier to install and operate.
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## Background
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This software will take over the satellite tracking functionality of C.Bassa's [sattools](https://github.com/cbassa/sattools). By porting the functionality to *python*, and using [astropy](https://github.com/astropy/astropy), and [opencv](https://opencv-python-tutroals.readthedocs.io/en/latest/), the software is indented to be easier to install and operate.
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This repository is currently used for development, and relies, for the moment, on programs from the [sattools](https://github.com/cbassa/sattools) repository.
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This repository is currently used for development, and relies, for the moment, on programs from the [sattools](https://github.com/cbassa/sattools) repository (namely `satid`).
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## Installation
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**stvid** handles requirements using pip. You can install requirements by running `pip install -r requirements.txt`. You should consider using a VirtualEnv to run stvid on a separate python virtual environment. You will also need to download the [Tycho 2 catalog](https://www.dropbox.com/s/isbq1wsmfr24zx5/tyc2.fits?dl=0).
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**stvid** handles requirements using pip. You can install requirements by running :
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You will also need to build and install [Hough3dLines](https://gitlab.com/pierros/hough3d-code) code, and have sextractor installed in your system.
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`pip install -r requirements.txt`
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Consider using a VirtualEnv to run stvid on a separate python virtual environment.
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### Additional requirements
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* [Hough3dLines](https://gitlab.com/pierros/hough3d-code)
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* `hough3dlines` needs to be executable in your path
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* [Sextractor](https://github.com/astromatic/sextractor)
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* `sextractor` needs to be executable in your path
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* [Astromentry.net](https://github.com/dstndstn/astrometry.net)
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* `solve-field` needs to be executable in your path, with index files appropriate for your FOV
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* Download the [Tycho 2 catalog](https://www.dropbox.com/s/isbq1wsmfr24zx5/tyc2.fits?dl=0) and specify its path in configuration
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## Configuration
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* Copy the `configuration.ini-dist` file to `configuration.ini`
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* Edit `configuration.ini` with your preferred settings
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* Make sure ST_DATADIR is set as an env variable pointing to the /data folder of sattools
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## Running
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TBD
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@ -42,7 +55,7 @@ Features to be implemented.
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* Add user to video group (`sudo adduser <username> video`).
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* Add video device to udev rules (add `SUBSYSTEM=="video1", GROUP="video", MODE="0660"` in `/etc/udev/rules.d/10-webcam.rules`).
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* Create start up script in `/etc/init.d`. Call capture script as user with `su <username> -c "capture_1.sh"`.
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* Create start up script in `/etc/init.d`. Call capture script as user with `su <username> -c "acquire.py"`.
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## License
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© 2018-2019 Cees Bassa
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@ -7,9 +7,10 @@ observer_lat = 19.8956 # Latitude of location in decimal degrees
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observer_lon = -155.2342 # Longitude of location in decimal degrees
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observer_el = 100 # Elevation of location in meters
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observations_path = /path/to/obs/
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tle_path = /path/to/tle/
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results_path = /path/to/results
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observations_path = /path/to/obs/ # Path for raw acquisitions
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tle_path = /path/to/tle/ # Path where TLEs are stored (and updated)
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results_path = /path/to/results # Path for results of processed obs
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tyc2_path = ./tyc2.fits # Path to Tycho 2 catalogue
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[Credentials]
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st-username = username # Space-track.org username
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@ -44,5 +45,5 @@ high_speed = 1 # High speed mode (0 for False, 1 for True)
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[Astrometry]
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sex_config = /path/to/solve.sex
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low_app = 18 # Arcsec per pixel low scale
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high_app = 20 # Arcsec per pixel high scale
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low_app = 18 # Arcsec per pixel low scale - Resolution of camera
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high_app = 20 # Arcsec per pixel high scale - Resolution of camera
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@ -2,7 +2,6 @@ astropy
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numpy
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opencv-python
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scipy
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git+https://github.com/haavee/ppgplot.git@master
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cycler==0.10.0
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kiwisolver==1.0.1
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matplotlib==2.2.2
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@ -13,3 +12,4 @@ six
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spacetrack==0.13.0
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termcolor
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zwoasi
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git+https://github.com/haavee/ppgplot.git@master
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@ -6,6 +6,7 @@ import numpy as np
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import subprocess
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import shutil
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import astropy.units as u
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import configparser
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from astropy.io import fits
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from astropy import wcs
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from astropy.coordinates import SkyCoord, FK5, ICRS
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@ -18,8 +19,10 @@ class tycho2_catalog:
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"""Tycho2 catalog"""
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def __init__(self, maxmag=9.0):
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hdu = fits.open(os.path.join(os.getenv("ST_DATADIR"),
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"data/tyc2.fits"))
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cfg = configparser.ConfigParser(inline_comment_prefixes=('#', ';'))
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cfg.read('../configuration.ini')
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tyc2 = cfg.get('Common', 'tyc2_path')
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hdu = fits.open(tyc2)
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ra = hdu[1].data.field('RA')*u.deg
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dec = hdu[1].data.field('DEC')*u.deg
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@ -220,6 +223,7 @@ def is_calibrated(ff):
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else:
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return True
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def generate_reference_with_anet(fname, cmd_args, reffname="test.fits", tempfroot="cal"):
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# Copy file to generic name
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shutil.copy2(fname, tempfroot + ".fits")
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@ -248,4 +252,3 @@ def generate_reference_with_anet(fname, cmd_args, reffname="test.fits", tempfroo
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pass
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return solved
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@ -29,6 +29,7 @@ class pixel_catalog:
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self.flag = None
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self.nstars = 0
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def generate_star_catalog(fname):
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# Skip if file already exists
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if not os.path.exists(os.path.join(fname, ".cat")):
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