diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..c78c353 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +test* +*.onnx +*.pt +*.torchscript \ No newline at end of file diff --git a/README.md b/README.md index 3328bc7..72f05a0 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,31 @@ [![Pull Requests Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat)](http://makeapullrequest.com) -# Ultimate Aimbot -**Adhere to our GNU licence or else we WILL come after you legally.**
+# AI Aimbot + +

+ + + +

+ +## Table of Contents + - [Intro](#intro) + - [Configurable Settings](#configurable-settings) + - [Current Stats](#current-stats) + - [REQUIREMENTS](#requirements) + - [Pre-setup](#pre-setup) + - [Run](#run) + - [Community Based](#community-based) + +## Intro +AI Aimbot works in any game with humanoid characters and utilizes YOLOv5. (Mouse movements don't work in Valorant currently) It is currently 100% undetectable to anti-cheat systems due to it being visual-only in nature. You could be found cheating if you are manually reported by another player and your game is reviewed manually due to the botty looking aimming of an Aimbot. + +This is meant for educational purposed and to expose how poorly prepared game developers are with these new waves on AI based cheats. Please share with this with your friendly neighborhood game dev so they can start patching. + +Code is all in 1 file for easy of viewing and learning from. + +***Use at your own risk. If you get banned get rekted idiot*** + +**Adhere to our GNU licence, come on we are a nonprofit.**
- free to use, sell, profit from, litterally anything you want to do with it - **credit MUST be given to RootKit for the underlying base code** @@ -9,6 +34,32 @@ Watch the shorts video! - https://youtu.be/EEgspHlU_H0 Join teh Discord - https://discord.gg/rootkit +## Configurable Settings +*Default settings are good for most use cases. Read comments in code for more details.
+**CAPS_LOCK is the default for toggling on and off the autoaim functionality** + +`videoGameWindowTitle` - (CHANGES PER GAME) Window title of the game you want to play. Does not need to be the complete window title. + +`aaRightShift` - May need to be changed in 3rd person games like Fortnite and New World. Typically `100` or `150` will be sufficient. + +`aaQuitKey` - Default is `q`, this may need to be changed to another key depending on the game. + +`headshot_mode` - Make `False` if you want to aim more toward center mass. + +`cpsDisplay` - Make `False` if you don't want the CPS to be displayed in the terminal. + +`visuals` - Make `True` if you want to see what the AI sees. Can help with debugging issues. + +`aaMovementAmp` - Default should be fine for 99% of use cases. Lower the value, the more smooth the autoaim will be. Recommended range is `0.5` - `2`. + +`confidence` - Default should be kept unless you know what you are doing. + +`screenShotHeight` - Default should be kept unless you know what you are doing. + +`screenShotWidth` - Default should be kept unless you know what you are doing. + +`aaDetectionBox` - Default should be kept unless you know what you are doing. + ## Current Stats This bot's speed is VERY dependent on your hardware. We will update the model it uses for detection later with a faster one. @@ -17,7 +68,7 @@ Bot was tested on a: - 64 GB DDR4 - Nvidia RTX 2080 -We got anywhere from 15-35 corrections per second. All games were ran at 1280x720 or close to it when testing. +We got anywhere from 20-45 corrections per second. All games were ran at 1920x1080 or close to it when testing. ANYTHING dealing with Machine Learning can be funky with your computer. So if you keep getting CUDA errors, you may want to restart your PC in order to make sure everything resets properly. @@ -34,7 +85,8 @@ ANYTHING dealing with Machine Learning can be funky with your computer. So if yo 4. To install `PyTorch` go to this website, https://pytorch.org/get-started/locally/, and Select the stable build, your OS, Pip, Python and CUDA 11.3. Then select the text that is generated and run that command. -6. Copy and past the command below into your terminal. This will install the Open Source packages needed to run the program. +5. Copy and past the command below into your terminal. This will install the Open Source packages needed to run the program. You will need to `cd` into the downloaded directory first. Follow step 2 in the Run section below if you need help. + ``` pip install -r requirements.txt ``` @@ -50,7 +102,11 @@ If you have python and the packages you are good to go. Load up any game on your 4. Press the enter key -5. Type `python main.py`, press enter and that is it! +5. Type `python main.py`, press enter. + +6. Use CAPS_LOCK to toggle on and off the autoaim functionality. **It is off by defualt** + +7. Pressing `q` at anytime will completely quit the program ## Community Based We are a community based nonprofit. We are always open to pull requests on any of our repos. You will always be given credit for all of you work. Depending on what you contribute, we will give you any revenue earned on your contributions 💰💰💰! diff --git a/imgs/csgo.PNG b/imgs/csgo.PNG new file mode 100644 index 0000000..edb5dd1 Binary files /dev/null and b/imgs/csgo.PNG differ diff --git a/imgs/halo.PNG b/imgs/halo.PNG new file mode 100644 index 0000000..2cbeb14 Binary files /dev/null and b/imgs/halo.PNG differ diff --git a/imgs/valorant.PNG b/imgs/valorant.PNG new file mode 100644 index 0000000..58ff9af Binary files /dev/null and b/imgs/valorant.PNG differ diff --git a/main.py b/main.py index c489e8f..2308b9b 100644 --- a/main.py +++ b/main.py @@ -1,12 +1,9 @@ from unittest import result import torch - import pyautogui import gc - import numpy as np -import os, json, cv2, random -from PIL import Image +import cv2 import time import mss import win32api, win32con @@ -22,14 +19,25 @@ def main(): # How big the Autoaim box should be around the center of the screen aaDetectionBox = 320 - # Autoaim speed + # For use in games that are 3rd person and character model interferes with the autoaim + # EXAMPLE: Fortnite and New World + aaRightShift = 0 + + # Autoaim mouse movement amplifier aaMovementAmp = 1.1 # Person Class Confidence confidence = 0.5 + # What key to press to quit and shutdown the autoaim + aaQuitKey = "Q" + + # If you want to main slightly upwards towards the head headshot_mode = True + # Displays the Corrections per second in the terminal + cpsDisplay = True + # Set to True if you want to get the visuals visuals = False @@ -47,7 +55,7 @@ def main(): # Setting up the screen shots sctArea = {"mon": 1, "top": videoGameWindow.top + (videoGameWindow.height - screenShotHeight) // 2, - "left": ((videoGameWindow.left + videoGameWindow.right) // 2) - (screenShotWidth // 2), + "left": aaRightShift + ((videoGameWindow.left + videoGameWindow.right) // 2) - (screenShotWidth // 2), "width": screenShotWidth, "height": screenShotHeight} @@ -75,7 +83,8 @@ def main(): # Main loop Quit if Q is pressed last_mid_coord = None aimbot=False - while win32api.GetAsyncKeyState(ord('Q')) == 0: + + while win32api.GetAsyncKeyState(ord(aaQuitKey)) == 0: # Getting screenshop, making into np.array and dropping alpha dimention. npImg = np.delete(np.array(sct.grab(sctArea)), 3, axis=2) @@ -105,7 +114,7 @@ def main(): targets.sort_values(by="dist", ascending=False) # Take the first person that shows up in the dataframe (Recall that we sort based on Euclidean distance) - xMid = round((targets.iloc[0].xmax + targets.iloc[0].xmin) / 2) + xMid = round((targets.iloc[0].xmax + targets.iloc[0].xmin) / 2) + aaRightShift yMid = round((targets.iloc[0].ymax + targets.iloc[0].ymin) / 2) box_height = targets.iloc[0].ymax - targets.iloc[0].ymin @@ -145,7 +154,8 @@ def main(): # Forced garbage cleanup every second count += 1 if (time.time() - sTime) > 1: - print(count) + if cpsDisplay: + print("CPS: {}".format(count)) count = 0 sTime = time.time()