Skip to content

An efficient Apex Legends Aimbot based on YoloV5 real-time target detection

Notifications You must be signed in to change notification settings

Slivanny/ProjectAim-ApexLegends

 
 

Repository files navigation

ProjectAim-ApexLegends

An efficient Apex Legends Aimbot based on YoloV5 real-time target detection

Credit to

YOLO V5 https://github.com/ultralytics/yolov5

Apex Dataset https://github.com/goldjee/AL-YOLO-dataset

What you need

A CUDA Compatible GPU, Graphics cards with lower performance than RTX3060 may not work perfect

How to use

Install all on requirements.txt by

pip install -r requirements.txt

Mode following code in file

80:classname = "PotPlayer64" ## HERE PUT YOUR APEX OR VIDEO PLAYER CLASS NAME
81:titlename = "testapex.mp4 - PotPlayer" ## HERE PUT YOUR APEX OR VIDEO PLAYER WINDOW NAME

And then have a happy test

# run this in NON-CHINESE folder and using a python 3.7+ (Recommend Python 3.8 anaconda)
# May need Admin Powershell
python main.py 

To-Do List

Test to determine if it can be used in normal games

Increase accuracy by improving screenshots and mouse efficiency

Replacing with a smaller model to reduce hardware requirements

A more user-friendly interface

Cut out the extra code

Current Situation

Functional but NOT tested in real game.

Performance accepable on using video

About

An efficient Apex Legends Aimbot based on YoloV5 real-time target detection

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 98.7%
  • Other 1.3%