Burrito Bison Bot Save

Uses OpenCV to automate gameplay of a Burrito Bison game as an experiment

Project README

Burrito Bison Bot

This is an example showing how a basic Computer Vision technique of Template Matching can be used to automate gameplay. Goal of this exercise is simply to explore how far one can get by using only template matching in OpenCV to automate primary tasks within the game.

This exercise is based on Burrito Bison: Launcha Libre free online game, a goal of which is to throw the main character as far as possible, crush gummy bears to gain gold, use gold to buy upgrades, and use upgrades to throw yourself as far as possible. If you've never seen the game before, here is a human playing it.

Why this game? The main reason is a fairly easily automatable gameplay. Controls require the player only use the mouse. There is also the grinding factor, requiring the player grind coins for upgrades to progress.

Notes

What works:

  • Launching the character;
  • Skipping Pinata ads;
  • Skipping mission screen;
  • Restarting the round;
  • Using the rocket;

What doesn't work or could be improved:

  • Rocket is used whenever it fills up. It could be better timed for when there are targets below;
  • Only a single blast of a rocket is used. At later game stages multiple available blasts could be used when necessary;
  • Special capabilities gained from gummy bears aren't used (targeting with barrels, rockets, jumping jack);
  • Player launch isn't timed or targeted. This may cause slower speeds at start, or completely miss the opponent;
  • Some screens are not skipped, e.g. cards gained, unlocked items;
  • Shopping for upgrades.

As it is right now, the bot can work semi-autonomously, requiring help to start the game, buy new upgrades and help it get past non-automated screens (such as new upgrade notices).

Requirements

  • Python 3
  • OpenCV
  • Numpy
  • Pynput

Installation

  • Clone this repository
  • Install opencv globally (see these instructions)
  • Create a virtual environment using system packages: virtualenv -p python3 --system-site-packages venv
  • Use virtualenv with source venv/bin/activate
  • Install required packages: pip install -r requirements.txt

Running the bot

  1. Run a resized version of Burrito Bison in your browser with cd website && python -m SimpleHTTPServer 8080
  2. Open up http://localhost:8080 in your browser
  3. Run the bot with python run.py
  4. Switch to the browser and ensure that the game screen is fully visible on your screen in the top left corner.
  5. Go through the interfaces manually and put the game into a state where you would launch the bison from the Ring. The bot should pick it up and launch the hero from there.

Tips:

  • This bot can no longer be run on Kongregate's website, you have to run a resized version of the game locally. This bot was tailored for Burrito Bison game to be run in 1173x660 px game screen, however Kongregate has since changed their design slightly, running the game in 1280x768 resolution, which throws off scaling in image templates.
  • The bot is configured to work only with 1920x1080 screen resolution. If you have an HD (1366x768) or a 4K monitor, you may need to play around with game screen placement, or change observed area in vision.py
Open Source Agenda is not affiliated with "Burrito Bison Bot" Project. README Source: flakas/burrito-bison-bot
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