parse.py | ||
README.md |
hlm2-wad-extract
This application is a tool to extract the asset data used in the newly released Hotline Miami 2: Wrong Humber game. You can download or clone the latest version from the GitHub project page. Although it was developed on Linux, it should work fine on other platforms.
After purchasing and thoroughly enjoying this title, I thought that I would like to listen to the excellent soundtrack while coding. I was slightly disappointed when I discovered that the music data was not simply included in the install directory as it was in the preceding game. Seeing as I had some free time, I decided to try to fish out the music OGG files myself out of the accompanying game WAD pack files. The file format turned out to be really simple and easy to understand, so I wrote a small Python utility to extract some or all of the game data.
Usage Instructions
This script makes it trivial to extract game data from the WAD files shipped with the game (currently
hlm2_data_desktop.wad
and hlm2_patch_desktop.wad
). These files can be found in the game install directory; on Linux
this is under ~/.steam/steam/steamapps/common/Hotline Miami 2
(probably in a similar location on other platforms).
Assuming that you have Python 2.7 installed, you can execute the
extract.py
script with the -h
option for a description of available options:
usage: parse.py [-h] [--pattern PATTERN] [--output DIRECTORY]
filename [filename ...]
Extract assets from Hotline Miami 2 WAD files
positional arguments:
filename WAD files to extract
optional arguments:
-h, --help show this help message and exit
--pattern PATTERN asset file filter pattern (ex: *.ogg)
--output DIRECTORY output directory for asset files
For example, in order to extract the game's music files only, you could execute the following command:
./parse.py --pattern "*.ogg" --output hlm2_data_desktop.wad
While I expect this utility to be trivial for all to use, let me know if you encounter any difficulties or unexpected behavior.