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

Shell 0.90% Python 98.73% Dockerfile 0.37%

projectaim-apexlegends's Introduction

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

projectaim-apexlegends's People

Contributors

xinranzh avatar

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