An analysis of the Morse Code message from a video recording of the new signalling tower located on the Revelle Campus of the University of California, San Diego, and the subsequent Python application derived from it.
To decode a (small, grayscale) video of a signal light flashing Morse Code, enter the following on the command line:
$ python decode_morse_video.py <path to video>
To interact with the Jupyter Notebook on decoding a video of a signal light flashing Morse Code, create an appropriate conda environment (see Requirements, below), and run Jupyter Notebook from this directory.
$ jupyter notebook
The Morse video decoder requires Python, OpenCV, and a bunch of Python libraries. By far, the easiest way to obtain Python and OpenCV (at least on Linux) is to install Anaconda, and make a conda virtual environment with the necessary libraries, like so:
$ conda create -n morsedecoder --file conda-requirements.txt
ffmpeg is also useful, but not required, to get your video into a digestible
format (grayscale, and as small as possible) from the command line.
Some helpful ffmpeg commands:
- Resize, and strip audio:
ffmpeg -i <source> -s <width>x<height> -an <destination> - Convert to grayscale:
ffmpeg -i <source> -vf format=gray <destination> - Crop video:
ffmpeg -i <source> -vf crop=<width>:<height>:<x>:<y> <destination>
You may or may not be able to successfully combine commands.
Copyright 2018, Andrew Lin. All rights reserved.
This software is released under the BSD 3-clause license. See LICENSE.txt or https://opensource.org/licenses/BSD-3-Clause for more information.
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