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GTA 5 Rage RP worker bot (Miner and Oil man)

Purposes of the bot

The main idea of the bot was to have fun making something, that will interact with the game and perform routine work.

There are two main mini games on the current RAGE RP mode server: quarry and oil tower. The essence of mini games is to perform some simple actions, like pressing some key for a certain time or to click on oils until they are filled. After successful iteration gamer gains some resource, that later could be sold for game currency.

After some number of iterations, simple captcha is appeared and should be solved. After captcha is solved, the mini game contunies.

Captcha example

alt text

Bot architecture

Bot consist of worker and OCR engine to solve the captcha.

Workers:

  • Miner
  • Oil man

OCR engines:

  • GOCR
  • Calamari OCR

Both workers encapsulate algorithm to play their game. Workers are controlled via keyboard shortcuts. Worker could be paused, stopped, restarted and resumed. Events from the keyboard are handled concurrently.

Solving the captcha

Problem

The idea was to recognize terms from question, recognize answers, find correct answer number and answer the captcha.

Preparing images

First of all - capture screenshot. Bot is ready to work only with full hd resolution. To achieve question numbers clarity independent of background, captcha background was artificially made black. After picture is cropped, there is a package - repainter, that will find all the pixels, that look like white and color everything else to black and invert colors after that.

Recognition

Gosseract

First try was gosseract library which is the wrapper over google tesseract. It has a big rate of false predictions in term of recognizing numbers. Was skipped very fast.

Calamari OCR

Second try was calamari ocr solution, that is written in Python and use Tensorflow to train models and predict pictures. A dataset of about 80 pictures of questions and three times as many pictures of answers was used to train model. This solution has a very good percent of correct predictions, but it needs about 7 seconds to predict all the pictures.

GOCR

The third try was GOCR - An open source program, that can recognize images. After few tests it was considered as perfect solution, because for the last version of processed images it had 100% of predictions and more importantly - instant prediction speed.

Results

Bot could work on oil tower 24/7, solving captcha and storing resources to the car, if --storage flag is passed. It also doesn't have much (with GOCR engine) dependencies to install: git and minGW.

Technical information

Bot is written in Golang

Libraries used

  • robotgo - screenshots capturing, keys and mouse manipulations, key tap event bindings, obtaining pixels color;
  • cutter - for cropping images;
  • cobra - as framework to build command line programs.