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Fortnite Lunar Aim Assist Hack | Aimbot for All Games

UNDETECTED Fortnite Lunar Aim Assist Hack

 Last Version: 09/12/2023

 Developers: zeyad-mansour

Fortnite Lunar Aim Assist Hack is an easy to use open-source Python image recognition Cheat for Fortnite that detects enemies on your screen by reading it and searching for objects that look like players.

Unlike other common Cheats and Hacks for Fortnite, this Fortnite Lunar Aim Assist Hack is based on neural network and neural network cheats are not really super new as we have seen a lot of them in the last 2 years or so, especially in game like Valorant and CSGO where some people try to avoid using internal hacks for security as well as safety reasons. And when neural network cheats are the topic, the go-to programming language is obviously Python as it provides us with many libraries to work with making image recognition even easy for beginners that are trying to learn programming.

The way this aim assist cheat for Fortnite’s latest version works is that, it uses a neural-network model that has been trained by the images of Fortnite characters in order to then by identified by the Python script that utilizes Nvidia CUDA technology to scan your screen constantly while you are playing the game.

And you do not have to use this hack for Fortnite only, as the developer of this cheat states, you can use this cheat for pretty much any game by modifying the cheat itself.

How to Use Fortnite Lunar Aim Assist Hack

  1. Download the cheat from the download button down below
  2. Extract all of the files into a folder that you don’t forget
  3. Download and install Python 3.8 or higher
  4. Download and install the Nvidia Cuda-Toolkit
  5. Navigate to the root directory. Use the package manager pip to install the necessary dependencies
    pip install -r requirements.txt
  6. Finally to run the script, do:
    python lunar.py
  7. To update sensitivity settings:

    python lunar.py setup
    

  8. To collect image data for annotating and training:

    python lunar.py collect_data
  9. Enjoy and have fun!


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  1. 257671

    dont work just makes mouse sing around

  2. 292350

    in which file i can change offsets? beacuse i have the newest and i want to change them

  3. 190504

    How do I configure the aimbot to shoot with the mouse after the update?

  4. 188865

    FOR PEOPLE LOOKING FOR A WORKING 100% SPOOFER TO USE WITH THIS
    GEFORCE NOW

    since this cheat aimbots by picture reference, you can use this while cloud gaming
    and if your spoofer broke which means you’re now banned on your pc like me, geforce now can unban you
    so what I’m saying is
    this is universally usable on cloud gaming and on your own pc
    fortnite might still be able to detect it though

  5. 188074

    what file is it so i can put offsets or stuff to fix trees and what offsets do i need

  6. 187785

    requirements: ipython not found and is required by YOLOv5, attempting auto-update…
    ‘pip’ is not recognized as an internal or external command,
    operable program or batch file.
    requirements: Command ‘pip install “ipython” ‘ returned non-zero exit status 1.
    requirements: psutil not found and is required by YOLOv5, attempting auto-update…
    ‘pip’ is not recognized as an internal or external command,
    operable program or batch file.
    requirements: Command ‘pip install “psutil” ‘ returned non-zero exit status 1.
    YOLOv5 2022-6-15 Python-3.10.5 torch-1.11.0+cu113 CUDA:0 (NVIDIA GeForce GTX 1060, 6144MiB)

  7. 96967

    it works but the aimbot doesn’t lock on the people it looks on the trees XD

  8. 185339

    whats the best x and y and aim settings to use with this cheat?

  9. 185339

    Aim flickers when i use it sometimes it locks on most the time it flickers

  10. 54474

    I can’t find the PIP installation – R requirement you said in the root directory

  11. 54474

    I don’t understand your instructions. Can you do a video tutorial

  12. 184674

    i got it to work but its flicring too much i cant even kill its like pulling my aim sideways

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