Python script for processing and assembling a podcast from various input sources

Nigel Stanger authored on 3 Mar 2017
test • Added test config files for parser. 6 years ago
.gitignore • Ignored .pyc files. 6 years ago
README.md • Added basic README file. 6 years ago
config_help.md • Minor formatting change. 6 years ago
config_parser.py • Fixed parsing bug that produced incorrectly structured timestamp lists when using a duration file (introduced by restructuring of grammar). 6 years ago
globals.py • Updated name of program. 6 years ago
process_podcast.py Merge branch 'master' of https://github.com/nstanger/process_podcast 6 years ago
progress_bar.py • Ensured progress bar is silent when maximum value is zero. 6 years ago
segment.py • Deleted leftover development debugging output. 6 years ago
shell_command.py • Rewrote shellquote() to ignore things like command-line switched and executable paths. Also only execute the catch-all regex when no other regexes match (closes #27). 5 years ago
README.md

process_podcast

This script enables you to assemble an ingterated podcast of a lecture or class from several different inputs, including:

  • recorded audio
  • screen recordings
  • other video
  • JPEG images representing individual lecture slides
  • a PDF containing the lecture slides

Audio and video may come from the same file, or from separate files. You also have the ability to insert small “joiner” sections of audio and video between major “segments” of the podcast. You can even configure the “joiner” so that it repeats the last frame of the previous segment for the desired duration.

For help on command line options: process_podcast.py --help.

For help on the podcast configuration file format, see the [configuration file documentation][].

Requirements

  • Python 2.7 series. (Not tested with Python 3.)
  • The pyparsing module. Linux: pip install pyparsing, easy_install pyparsing, or whatever other method you normally use to install Python modules; macOS (MacPorts): port install py-parsing. Also see the [pyparsing documentation][].
  • The pexpect module. Linux: pip install pexpect, easy_install pexpect, or whatever other method you normally use to install Python modules; macOS (MacPorts): port install py-pexpect. Also see the [pexpect documentation][].