This is a YOLOV7 based APEX 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
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Enemy and Friend Differentiation: The model can distinguish between enemies and friends, enhancing decision-making in various scenarios.
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PID Smooth Moving: Utilizes a PID algorithm for smooth and stable movement trajectories, useful in target tracking and precision operations.
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Real-Time Detection Results: Displays detection results in real-time, improving user experience and providing timely data support.
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Personalized Settings: Users can edit the config file to customize model settings like detection sensitivity and alert thresholds.
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TensorRT Speed Up: Boosts model speed and solves shaking issues, especially at high speeds.
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Model Encryption: Offers encryption for ONNX and TRT models to prevent theft and tampering.
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Screenshot Saving: Automatically saves screenshots during locking or detection for analysis and dataset collection.
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Image Annotation: Speeds up data annotation using current models, enhancing model training efficiency.
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
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
You can get the customized settings in configs/apex.yaml, set your suitable smooth hyperparameter
python utils/anno_imgs.py --data_dir your_dataset_dir --engine_path your_trt_engine_path