Labeling 700 pictures took about 4 days of work and only included 4 game objects (1 champion model, allied and enemy minions and enemy towers). Object detectionДЇor more information on the object detector refer to my technical report at: or directly to the YOLOv3 website Installation/UsageД¬reating large datasets from scratch can be very work intensive.ДЇor the first implementation of the LeageAI about 700 hand labeled pictures were used. In this project a python implementation of Yolo v3 object detector and a way of randomly generating an infinite amout of training data is introduced. Since League of Legends does not provide an interface to the game, object detection is used. The task is to create an agent that is able to play 3rd person massive multiplayer online battle arena games (MOBA) like League of Legends, Dota 2 and Heroes of the Storm with the same input as a human player, namely vision. Add Blue towers, nexus, inhibitors, minions.Add Red inhibitors, nexus, super minions.The mAP calculation needs a rework, sometimes objects are used twice for map computation.Extract object positions from the minimap to get an understanding of the global map.Add random particles to the screenshots, explosions and so on.Fog of war strucutres, maybe fog of war filter?.Fix some bugs with the tower cropping of the raw data.

Dataset generation, add these objects to the raw data.As an example I will implement the old 2017 LeagueAI bot on this framework.Дemo video of Tensorflow implementation from 2017: TODO This is a newer version of the old implementation and shall provide a framework that lets you build your own applications based on detecting objects in the game.

Player for the videogame League of Legends based on Image Recognition using PyTorchДЄttention: The old version using Tensorflow can be found in the branch 'LeagueAI_2017'.ДЄttention: This project is still under development, the datasets I generate and the YOLOv3 object detection weights I trained will be made available soon! OLD VERSION

3rd person league of legends