Introduction

This is a YOLOV7 based APEX and CSGO Aimbot Note: This is an educational purposes only software, do not use it for any commercial or illegal purposes, we will not be responsible for any unauthorized usage of this software

If you like it, please give me a star, thanks!

Features

Model can differentiate the enemy and friend
PID smooth moving
Individual process to display detection results in real time
Customize personalized settings through config file
Tensorrt speed up (solving the shaking problem when speed is fast)
Encrypt onnx and trt model
Save screenshot while locking or detected -> collect new dataset (false positive and negative)
Annotate images using current models -> faster annotation
Package to exe

Environment

My envrionment uses python3.7

conda create -n apex python=3.7
conda activate apex
pip install pipwin
pipwin install pycuda
pip install -r requirements.txt

Install cuda11.8 with tensorrt following the NVIDIA official instructions

Run

Running for apex (default hold left/right button to auto aim, side button(x2) to auto aim and shoot, side button(x1) to enable and disable the AI:

python apex.py

Running for csgo (default hold side button(x2) to auto aim and shoot, side button(x1) to enable and disable the AI):

python csgo.py

You can get the customized settings in configs/apex.yaml or configs/csgo.yaml, set your suitable smooth hyperparameter

Annotate the dataset using current model

python utils/anno_imgs.py --data_dir your_dataset_dir --engine_path your_trt_engine_path

Support Author

ETH/USDT (ETH/ERC20): 0x51d9a6F1323ec7ACbd015B02B4EaDa88a90473ef