|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/artificial-intelligence-in-game-fps-aimbot/
课程评论：没有评论
Course Name: Game Hacking With Artificial Intelligence - FPS Aimbot **Course Description:** This course explores the increasing use of artificial intelligence in esports and game hacking. It provides a practical introduction to creating an auto-aiming bot for FPS games using AI. The course covers data collection from games, dataset labeling, training a custom model with Yolov5, and implementing detection with the trained model. A key component is developing a mouse driver to enable mouse input across various games. **Prerequisites:** * Basic Python knowledge is recommended for understanding the code. * Familiarity with installing software like CUDA and Python on a computer is beneficial. **Important Disclaimer:** * The AI model taught in this course is for bot detection purposes **only** and **cannot** be used in online matches. * Using the methods described in this course may result in a **ban** from games. This course is for informational purposes and users proceed at their own risk. **Course Content:** * Easy data collection from games. * Dataset labeling techniques. * Training custom AI models with Yolov5. * Implementing detection with custom models. * Developing a mouse driver for universal game input. **Supplemental Materials:** All course materials, including the dataset, scripts, Arduino Leonardo scripts, and the trained model, are available for download.
Attention Please: The ai model in this course is trained to detects bots only. Cannot be used in online matches.Watch this course for information purposes. Using the methods in this course may get you banned in the game.Rapidly developing artificial intelligence has outperformed humans in the esports sector, as in most sectors.I think the use of 3rd party artificial intelligence software in games will increase in the future.In this course we give a simple introduction to this technology.This course aims to make auto aiming bot at fps games. This course contains:how to easily collect data from games, how to label your dataset, how to train your custom model with Yolov5, how to use detecting with your custom model, how to make mouse driver for be able to give mouse input to all games. With the mouse driver we have made, you can give mouse input to all games.I published on udemy all materials used in this course like dataset, scripts, arduino leonardo scripts, trained model.You can follow course easily with use this materials.I did not explain the codes I wrote in this course in detail. It would be helpful to have basic python knowledge. It will be beneficial for you to know how to install programs such as cuda and python on your computer. If you use the techniques in this course, there is a possibility that you will be punished by the game be carefull.
