I'm trying to build an automated bot for Maple Story
Im using OpenCV with Cascade classifier for detecting enemies
and PyDirectInput for player movement. I can get the bot to attack whenever a monster is detected
and I tried to calculate distance between player character and the monsters and the results are not consistent.
on the X position it's pretty good but on the Y axis I'll have to implement some logic with identifying ladders
and it looks like the detection could be better. I annotated 100+ screenshot of monsters and the player character
which is probably not a lot but it took me a while.
I'm looking for advice on what approach to go from here, do I try to train differently? do I try a different approach all together? I don't think detecting every mob in the game is the correct way to create a bot.
If someone with some experience want to join let me know! i'd be happy to collab!
