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๐ŸŽฏ World's Best AI Aimbot ๐ŸŽฎ

World's Best AI Aimbot Banner

Pull Requests Welcome

โœจBEST EXPERIENCE, Use our Launcher and the Launcher Custom Code Pack!โœจ

Over 10,000 users use the Launcher

๐Ÿ”ด LIVE: Aimbot Internation 2024 - Win $1,000s

Prepare your custom code and submit it for the aimbot internation which ends later this year. Work alone or with friends. Check out the following videos to learn more.

All custom code must be submitting thru the launcher. https://youtube.com/live/mtV6w2qhaNs?feature=share

Download the RootKit Launcher. It is FREE. No coding required.

It will auto-setup everything for you!

Want to make your own bot? Then use the Starter Code Pack!

๐Ÿ™Œ Welcome Aboard!

We're a charity on a mission to educate and certify the upcoming wave of developers in the world of Computer Engineering ๐ŸŒ. Need assistance? Hop into our Discord and toss your questions at @Wonder in the #ai-aimbot channel (be sure to stick to this channel or face the consequences! ๐Ÿ˜ฌ). Type away your query and include @Wonder in there.

Our AI Aimbot ๐Ÿค– sharpshoots targets in any game with humanoid characters, harnessing the power of YOLOv5. Currently, it's a ninja against anti-cheat systems, as it's visual-only. Still, watch out for manual player reports! ๐Ÿ‘€

Intended for educational use ๐ŸŽ“, our aim is to highlight the vulnerability of game devs to AI-driven cheats. Pass it along to your game developer buddies, and save their games from being outsmarted!

โš  Use at your own risk! If you're caught... well, you've been warned!

๐Ÿ“น Instructional Media

There are 3 Versions ๐Ÿš€๐Ÿšฆ๐Ÿ–ฅ๏ธ

  • Fast ๐Ÿƒโ€โ™‚๏ธ - main.py โœ… Easy to set up, Works on any computer ๐Ÿ’ป
  • Faster ๐Ÿƒโ€โ™‚๏ธ๐Ÿ’จ - main_onnx.py โš™๏ธ May need to edit a file, Works on any computer ๐Ÿ’ป
  • Fastest ๐Ÿš€ - main_tensorrt.py ๐Ÿข Enterprise level hard, Works on computers with Nvidia GPUs only ๐ŸŽฎ

๐Ÿงฐ Requirements

  • Nvidia RTX 980 ๐Ÿ†™, higher or equivalent
  • And one of the following:

๐Ÿš€ Pre-setup Steps

  1. Download and Unzip the AI Aimbot and stash the folder somewhere handy ๐Ÿ—‚๏ธ.
  2. Ensure you've got Python installed (like a pet python ๐Ÿ) โ€“ grab version 3.11 HERE.
    • ๐Ÿ›‘ Facing a python is not recognized... error? WATCH THIS!
    • ๐Ÿ›‘ Is it a pip is not recognized... error? WATCH THIS!
  3. Fire up PowerShell or Command Prompt on Windows ๐Ÿ”.
  4. To install PyTorch, select the appropriate command based on your GPU.
    • Nvidia pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118
    • AMD or CPU pip install torch torchvision torchaudio
  5. ๐Ÿ“ฆ Run the command below to install the required Open Source packages:
pip install -r requirements.txt

๐Ÿ”Œ How to Run (Fast ๐Ÿƒโ€โ™‚๏ธ Version)

Follow these steps after Python and all packages have been installed:

  1. Open PowerShell โšก or Command Prompt ๐Ÿ’ป.
  2. Input cd , then drag & drop the folder containing the bot code into the terminal.
  3. Hit Enter โ†ฉ๏ธ.
  4. Type python main.py and press Enter.
  5. Use CAPS_LOCK to toggle the aimbot ๐ŸŽฏ. It begins in the off state.
  6. Pressing q ๐Ÿ’ฃ at ANY TIME will shut down the program.

๐Ÿ”Œ How to Run (Faster ๐Ÿƒโ€โ™‚๏ธ๐Ÿ’จ Version)

Follow these steps after Python and all packages have been installed:

  1. Open the config.py ๐Ÿ“„ file and tweak the onnxChoice variable to correspond with your hardware specs:
    • onnxChoice = 1 # CPU ONLY ๐Ÿ–ฅ
    • onnxChoice = 2 # AMD/NVIDIA ONLY ๐ŸŽฎ
    • onnxChoice = 3 # NVIDIA ONLY ๐ŸŽ๏ธ
  2. IF you have an NVIDIA set up, run the following
    pip install onnxruntime-gpu
    pip install cupy-cuda11x
    
  3. Follow the same steps as for the Fast ๐Ÿƒโ€โ™‚๏ธ Version above except for step 4, you will run python main_onnx.py instead.

๐Ÿ”Œ How to Run (Fastest ๐Ÿš€ Version)

Follow these sparkly steps to get your TensorRT ready for action! ๐Ÿ› ๏ธโœจ

  1. Introduction ๐ŸŽฌ Watch the TensorRT section of the setup video ๐ŸŽฅ before you begin. It's loaded with useful tips!

  2. Oops! Don't Forget the Environment ๐ŸŒฑ We forgot to mention adding environmental variable paths in the video. Make sure to do this part!

  3. Get Support If You're Stumped ๐Ÿค” If you ever feel lost, you can always @Wonder your questions in our Discord ๐Ÿ’ฌ. Wonder is here to help!

  4. Install Cupy Run the following pip install cupy-cuda11x

  5. CUDNN Installation ๐Ÿงฉ Click to install CUDNN ๐Ÿ“ฅ. You'll need a Nvidia account to proceed. Don't worry it's free.

  6. Unzip and Relocate ๐Ÿ“โžก๏ธ Open the .zip CuDNN file and move all the folders/files to where the CUDA Toolkit is on your machine, usually at C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8.

  7. Get TensorRT 8.6 GA ๐Ÿ”ฝ Fetch TensorRT 8.6 GA ๐Ÿ›’.

  8. Unzip and Relocate ๐Ÿ“โžก๏ธ Open the .zip TensorRT file and move all the folders/files to where the CUDA Toolkit is on your machine, usually at C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8.

  9. Python TensorRT Installation ๐ŸŽก Once you have all the files copied over, you should have a folder at C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\python. If you do, good, then run the following command to install TensorRT in python.

    pip install "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\python\tensorrt-8.6.1-cp311-none-win_amd64.whl"
    

    ๐Ÿšจ If the following steps didn't work, don't stress out! ๐Ÿ˜… The labeling of the files corresponds with the Python version you have installed on your machine. We're not looking for the 'lean' or 'dispatch' versions. ๐Ÿ” Just locate the correct file and replace the path with your new one. ๐Ÿ”„ You've got this! ๐Ÿ’ช

  10. Set Your Environmental Variables ๐ŸŒŽ Add these paths to your environment:

  • C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib
  • C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp
  • C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin
  1. Download Pre-trained Models ๐Ÿค– You can use one of the .engine models we supply. But if it doesn't work, then you will need to re-export it. Grab the .pt file here for the model you want. We recommend yolov5s.py or yolov5m.py HERE ๐Ÿ”—.

  2. Run the Export Script ๐Ÿƒโ€โ™‚๏ธ๐Ÿ’ป Time to execute export.py with the following command. Patience is key; it might look frozen, but it's just concentrating hard! Can take up to 20 minutes.

python .\export.py --weights ./yolov5s.pt --include engine --half --imgsz 320 320 --device 0

Note: You can pick a different YOLOv5 model size. TensorRT's power allows for larger models if desired!

If you've followed these steps, you should be all set with TensorRT! โš™๏ธ๐Ÿš€

โš™๏ธ Configurable Settings

*Default settings are generally great for most scenarios. Check out the comments in the code for more insights. ๐Ÿ” The configuration settings are now located in the config.py file!
CAPS_LOCK is the default for flipping the switch on the autoaim superpower! โš™๏ธ ๐ŸŽฏ

useMask - Set to True or False to turn on and off ๐ŸŽญ

maskWidth - The width of the mask to use. Only used when useMask is True ๐Ÿ“

maskHeight - The height of the mask to use. Only used when useMask is True ๐Ÿ“

aaQuitKey - The go-to key is q, but if it clashes with your game style, swap it out! โŒจ๏ธโ™ป๏ธ

headshot_mode - Set to False if you're aiming to keep things less head-on and more centered. ๐ŸŽฏโžก๏ธ๐Ÿ‘•

cpsDisplay - Toggle off with False if you prefer not to display the CPS in your command station. ๐Ÿ’ป๐Ÿšซ

visuals - Flip to True to witness the AI's vision! Great for sleuthing out any hiccups. ๐Ÿ•ต๏ธโ€โ™‚๏ธโœ…

aaMovementAmp - The preset should be on point for 99% of players. Lower the digits for smoother targeting. Recommended doses: 0.5 - 2. โš–๏ธ๐Ÿ•น๏ธ

confidence - Stick with the script here unless you're the expert. ๐Ÿงโœจ

screenShotHeight - Same as above, no need for changes unless you've got a specific vision. ๐Ÿ“๐Ÿ–ผ๏ธ

screenShotWidth - Keep it constant as is, unless you've got reasons to adjust. ๐Ÿ“๐Ÿ–ผ๏ธ

aaDetectionBox - Default's your best bet, change only if you've got the know-how. ๐Ÿ“ฆโœ…

onnxChoice - Gear up for the right graphics cardโ€”Nvidia, AMD, or CPU power! ๐Ÿ’ป๐Ÿ‘พ

centerOfScreen - Keep this switched on to stay in the game's heart. โค๏ธ๐Ÿ–ฅ๏ธ

๐Ÿ“Š Current Stats

The bot's efficiency depends on your setup. We achieved 100-150 CPS with our test specs below ๐Ÿš€.

- AMD Ryzen 7 2700
- 64 GB DDR4
- Nvidia RTX 3080

๐Ÿ’ก Tip: Machine Learning can be tricky, so reboot if you keep hitting CUDA walls.

๐Ÿค Community Based

We're all about collaboration. Your contributions can earn you credit and potential ๐Ÿ’ฐ!

Want to volunteer? Have video or program ideas? Tell us!

โš ๏ธ Known Cheat-Detectable Games

Splitgate (reported by a Discord user ๐Ÿ•ต๏ธโ€โ™‚๏ธ), EQU8 detects win32 mouse movement library.

๐Ÿš€ Custom Aimbots and Models

Show off your work or new models via Pull Requests in customScripts or customModels directories, respectively. Check out the example-user folder for guidance.

๐ŸŒ  Future Ideas

  • Mask Player to avoid false positives

Happy Coding and Aiming! ๐ŸŽ‰๐Ÿ‘พ