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kas

Karlito's Aiming Software

https://github.com/karlitocz/kas

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
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    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.9%) to scientific vocabulary

Keywords

ai cheat
Last synced: 10 months ago · JSON representation ·

Repository

Karlito's Aiming Software

Basic Info
  • Host: GitHub
  • Owner: KarlitoCZ
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 654 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ai cheat
Created almost 2 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

Karlito's Aiming Software

AI. Powered aimbot and trigger-bot for general use in python This cheat is a proof of concept and not anywhere close to being as powerful as an external or internal cheat

Common Problems

  1. The model used in the repo is not trained on specific characters in games
  2. Slow and may not always work as expected (depending on the game)

Running the cheat

  1. Clone the repo
  2. Install requirements.txt
  3. Run main.py
  4. Make sure that the overlay isn't in focus
  5. If you encounter a problem please open an issue or make a PR.
  6. Check out the config.py

Modifying

I highly recommend changing the code or the model to fit your needs, you can find the main logic in detect.py. If you train your own AI. model and modify the aimbot it will work way better.

Sources

Pyglet

Yolov5

Pyautogui

Pynput

Yolov5 Docs

Owner

  • Login: KarlitoCZ
  • Kind: user
  • Location: Czech Republic

Citation (CITATION.cff) 

cff-version: 1.2.0
preferred-citation:
  type: software
  message: If you use YOLOv5, please cite it as below.
  authors:
  - family-names: Jocher
    given-names: Glenn
    orcid: "https://orcid.org/0000-0001-5950-6979"
  title: "YOLOv5 by Ultralytics"
  version: 7.0
  doi: 10.5281/zenodo.3908559
  date-released: 2020-5-29
  license: AGPL-3.0
  url: "https://github.com/ultralytics/yolov5"

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Dependencies

utils/docker/Dockerfile docker
  • pytorch/pytorch 2.0.0-cuda11.7-cudnn8-runtime build
utils/google_app_engine/Dockerfile docker
  • gcr.io/google-appengine/python latest build
requirements.txt pypi
  • PyYAML >=5.3.1
  • gitpython >=3.1.30
  • matplotlib >=3.3
  • numpy >=1.23.5
  • opencv-python >=4.1.1
  • pandas >=1.1.4
  • pillow >=10.3.0
  • psutil *
  • pyautogui =0.9.54
  • pyglet =1.5.29
  • pynput =1.7.7
  • pywin32 =306
  • requests >=2.32.0
  • scipy >=1.4.1
  • seaborn >=0.11.0
  • setuptools >=70.0.0
  • thop >=0.1.1
  • torchvision >=0.9.0
  • tqdm >=4.64.0
utils/google_app_engine/additional_requirements.txt pypi
  • Flask ==2.3.2
  • gunicorn ==22.0.0
  • pip ==23.3
  • werkzeug >=3.0.1
  • zipp >=3.19.1