Wenzheng Huang
Software Development
«
Using Computer Vision to Identify Player Inputs on Street Fighter 5
Machine Learning has become more and data from Street Fighter 5 with computer
researchers, but researchers rely heavily going on in the game by simply “looking
more popular among Artificial Intelligence
on developer API (like StarCraft 2),
memory hacking or reverse engineering
to gain access to game status. Many
at” it. It could be data-driven and apply to
other scenarios with proper sample data.
games are closed source, and do not I thought this project would provide an
engineering or memory hacking the game data they want, and help them to better
provide developer API, and reverse
is strictly prohibited by end user license
agreements.
I spent about five months developing an
application to identify and extract input
82
vision. This application can know what is
SOFTWARE DEVELOPMENT
alternative way for researchers to get the
analyze behaviors of skilled players.