Runescape colorbot3/24/2023 To do this, first make sure your inventory is open, and then we need to determine the pixel position where those logs appear in our inventory on the screen. So far we've needed to discard those logs manually, which is pretty annoying, so let's write an automation to do that for us. We'll come back to this in a little bit.Īs we have been developing our code, our inventory has been filling up with logs whenever we cut down trees. The manually cut down tree #2 once more, so that your character is in the correct starting position for our code (because it will move our character from tree #2 to tree #1 as it's first step). Then manually cut down tree #1, take a screenshot, and use that to get the location of tree #2. After you cut down tree #2, take a screenshot and use that to get the location of tree #1. I recommend cutting down two trees manually a few times until you get a consistent pattern. You'll find it's quite difficult to find two pixel coordinate positions that will consistently cut down two trees, because as your character moves the pixel location of the tress also moves. Robot.moveMouse(second_tree_x, second_tree_y) Robot.moveMouse(first_tree_x, first_tree_y) Now let's use the same techniques to click on, and chop down, multiple trees. When we left off, our bot could simply click over and over again in the same location to chop down a single tree. And once we've done these things the painful way, I'm going to show you how to do pixel color matching, so that our code can actually see what's going on inside the game and it can try to find tree locations for us. We also want to automatically drop the logs out of our inventory, so that it doesn't fill up with useless logs. We want to be able to move to different trees and chop them down, instead of waiting for the same tree to respawn. Ok, so we've got a lot of things to cover in this part of the tutorial. LinksĮloquent JavaScript: Free Online Edition / Paperback or Ebook Edition This video covers the key concepts you need to know to build a video game bot with RobotJS. Here we learn how to automate dropping logs from our inventory, how to use basic computer vision to find our targets to click on, how to randomize our clicks, and how to automate keyboard key presses to rotate our camera when we can't find any more trees to click on. You can find some of the code on GitHub here.Our JavaScript RuneScape bot continues with part 3. It was a fun project to work on, and it proves that these types of algorithms can generalize well to mass multiplayer online games. Some classes had extremely high mAP, while a few might indicate some data quality or labeling issues. The inference server could then connect to that stream, run predictions, create bounding boxes, and output a labeled stream. I ended up using OBS to capture the game window, streaming that to a local nginx server with RMTP. Once the model was trained, I needed to figure out how to run online inference. A typical batch Online Inference Pipeline I experimented with different image sizes, training it from scratch vs. I tried with three separate models to get a baseline - first, with a small subset of classes, second, with a specific subset of classes, and finally, with all 800+ classes. I settled on yoloV5, with a few modifications to tailor it towards the special 3d environment. When evaluating the the type of architecture, I looked (1) to achieve 60fps inference on my personal hardware (64gb RAM, NVIDIA Titan X GPU) (2) to optimize for mean average precision (mAP) across the object classes.
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