Introduction to Auto Maple
Auto Maple is an innovative Python bot designed to play MapleStory, a popular 2D side-scrolling MMORPG. This intelligent bot utilizes simulated key presses, TensorFlow machine learning, and various computer vision techniques, including OpenCV template matching, to interact with the game effectively.
Minimap Functionality
One of Auto Maple's remarkable features is its ability to use OpenCV template matching to identify and track the elements of the in-game minimap. This enables the bot to accurately monitor the player's position in the game. When the record_layout option is enabled, it logs the player's past movements into a quadtree-based Layout object. This object is periodically saved to a file and reloaded with every new routine, if available. The stored layout data employs the A* search algorithm to compute the shortest path to any target, thereby improving the efficiency and accuracy of the bot's operations.
Command Books
Auto Maple is designed with flexibility in mind, allowing it to control any in-game character by utilizing "command books." These command books are Python files with different classes for each character's abilities. They tell the bot which keys to press and when, letting it execute complex commands seamlessly. Once imported, these command books are compiled into a dictionary for easy interpretation during gameplay. They also have access to Auto Maple's global variables, allowing adaptive behavior based on the current game state.
Routines
A key feature of Auto Maple is its support for "routines," which are user-created CSV files dictating the bot's movements and commands for specific in-game locations. A custom compiler within Auto Maple converts these routines into Component objects, ready for execution. Invalid entries are flagged with an error message and skipped. Essential components of routines include:
- Point: Executes commands when the character is within a specific area.
- Label: Helps organize routines and set loop sections.
- Jump: Moves the routine flow to a predefined label.
- Setting: Updates gameplay settings at any routine point.
Solving Runes
Auto Maple can also solve "runes," which are arrow key puzzles found within the game. Using OpenCV's color filtration and Canny edge detection, the bot filters out unnecessary background elements. A TensorFlow model, custom-trained for this task, analyzes the processed frames to solve the puzzles. This makes Auto Maple highly reliable, even in vibrant and chaotic environments.
Video Demonstration
For a comprehensive look at Auto Maple in action, a video demonstration is available. It showcases the bot's capabilities and the efficiency with which it interacts within MapleStory.
Setup Instructions
To set up Auto Maple, follow these steps:
- Install Python3 from the official website.
- Install the latest CUDA Toolkit.
- Install Git for version control.
- Download and unzip the latest Auto Maple release.
- Obtain the TensorFlow model and place it in Auto Maple’s "assets" directory.
- Use the command
python -m pip install -r requirements.txtto install necessary dependencies. - Run
python setup.pyto create a handy desktop shortcut. This can be relocated, but you'll need to regenerate it if Auto Maple's directory is moved.
By following these instructions, you can set up a powerful, automated gameplay assistant for MapleStory, enhancing your in-game experiences with ease.