OCVBot VS Piano-Tiles-Bot

The testing suite of the project takes advantage of a photo viewer called feh, which is only available on Linux systems. I created a Ubuntu VM and attempted to run my tests. I ran into a host of issues, detailed here. Apparently Ubuntu couldn't display the images fast enough for the tester. Taking the project owner's advice, I installed Lubuntu which finally ended up working.

My initial idea, outlined in the issue, was to click the scroll bar to get the desired world on the bottom of the screen, then blindly click the area where the world would be. I chose this method because the alternative was to use world needles, which meant taking screenshots of every single world.

For 0.4, I wanted to continue my work on OCVBot. I wrote the switch_worlds_logged_out() function, so it makes sense to also work on switch_worlds_logged_in(), which is more complex.

With a good idea on how to continue, I created an issue.

For this contribution, I came across OCVBot, a very interesting project that uses CV (computer vision) to automate tasks in the game Old School RuneScape.

PR 4

Created a bot to play the famous Piano Tiles game. The program is based off the functions that the PyAutoGUI module has to offer. The main idea is to simply recognize if any of the 4 pixels we took match the RGB colour code of the tile that must be clicked. If any of the pixels match the desired tile's colour, we perform the click operation. To stop the clicking process, a while loop is set in place and will be terminated upon pressing 'q'. Click here for the link to repo.