https://github.com/LaihoE/DLAC

Deep Learning Anti-Cheat For CSGO
https://github.com/LaihoE/DLAC

anticheat counter-strike-global-offensive csgo deep-learning machine-learning

Last synced: 3 months ago
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Deep Learning Anti-Cheat For CSGO

• Host: GitHub
• URL: https://github.com/LaihoE/DLAC
• Owner: LaihoE
• Archived: true
• Created: 2021-06-15T15:24:00.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-11-24T07:07:39.000Z (almost 2 years ago)
• Last Synced: 2024-06-16T02:43:01.289Z (5 months ago)
• Topics: anticheat, counter-strike-global-offensive, csgo, deep-learning, machine-learning
• Language: Go
• Homepage:
• Size: 71.9 MB
• Stars: 25
• Watchers: 3
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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• awesome-game-security - Deep Learning Anti-Cheat For CSGO

README

        
# Deep Learning Anti-Cheat For CSGO

Input the directory with your .dem files and the model outputs predictions for every shot during the game.

```python

from DLAC import Model

model = Model("./path_to_demos/")

model.predict_to_terminal(threshold=0.95)   # You can manually specify threshold, 0.95 by default

```

## Installation

Windows should be as easy as:

```python

pip install DLAC

```

Linux users will need to build the .so file. This requres GO.

```

git clone https://github.com/LaihoE/DLAC  

cd DLAC

python3 setup.py install

cd DLAC

go build -o parser.so -buildmode=c-shared

```

## You can choose between a bigger and a smaller model

```python

from DLAC import Model

model = Model("./path_to_demos/", model_type='big')

model.predict_to_terminal(threshold=0.99)   # 0.99 is recommended with the bigger model

```

The bigger model is slower with slightly better accuracy  

Other ways to output predictions  

model.predict_to_csv()  

model.predict_to_list()

## Example output from one shot  

```CSV

Name, Confidence of cheating, SteamId, File

PeskyCheater22, 0.9601634, 123456789, exampledemo.dem

```

## Special thank you to

Demoinfocs-golang is the underlying parser used for parsing the demos, found at:  

https://github.com/markus-wa/demoinfocs-golang.  

87andrewh has written the majority of the specific parser used, found at: https://github.com/87andrewh/DeepAimDetector/blob/master/parser/to_csv.go