gitter-badger / frame-movies Goto Github PK

# Frame movies

This code takes a series of FITS files on the command line and spits out a .mp4.

It automatically scales the images to +=20% around the median and plots a time series of the median values as a function of time. Above the image is the image_id if present.

If the images have the shape 2048x2088 then the image is assumed to be raw and the overscan strips are removed. Otherwise they are not.

Usage

The main script is create_movie.py which takes each file to add on the command line as arguments, along with the output filename with the -o/--output flag. Full usage is shown below.

The images require the mjd header card to be present unless the --no-sort argument is supplied, then the order the files are passed to the script is used for rendering the image.

usage: create_movie.py [-h] [-o OUTPUT] [--no-sort] [-f FPS]
                       [--no-multiprocessing] [-d IMAGES_DIR]
                       [--no-delete-tmpdir] [--use-mencoder] [--verbose]
                       filename [filename ...]

positional arguments:
  filename

optional arguments:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        Output movie name
  --no-sort             Do not sort by mjd
  -f FPS, --fps FPS     Frames per second
  --no-multiprocessing  Run serially
  -d IMAGES_DIR, --images-dir IMAGES_DIR
                        Custom directory to put the intermediate images
  --no-delete-tmpdir    Do not delete temporary directory of pngs
  --use-mencoder        Use mencoder instead of ffmpeg
  --verbose             Verbose logging

Installation

All code is written in Python. I recommend the Anaconda python distribution for installation. The code either requires ffmpeg (preferred) or mencoder to render movies.

Python dependencies

• matplotlib
• astropy
• numpy