sunone_aimbot_2

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基于 YOLO12 的 AI 瞄准辅助，支持所有 FPS/TPS 游戏，通过 TensorRT、CUDA 或 DirectML 在 GPU 上推理，并配合 Arduino、KMBox 等硬件实现鼠标控制。

Aim-bot based on AI for all FPS and TPS games

暂无版本732star +1 / 7 天147fork同步于 2026-11-10 11:56 UTC

AI瞄准 YOLO12 TensorRT DirectML FPS游戏

对比 GitHub ai ai-aimbot aimbot arduino cpp

怎么上手

由 README 提炼，执行前请确认

原文

下载预编译包解压后运行 ai.exe（CUDA 版需先更新 NVIDIA 驱动并安装 CUDA 13.1）

硬件要求按 README 说明

CUDA 版需 NVIDIA GTX 1660、RTX 2000/3000/4000/5000 系列及 CUDA 13.1，不支持 GTX 10xx 及更老显卡；DirectML 版支持 NVIDIA、AMD、Intel 独显与核显，无需 CUDA；仅 Windows 10/11 x64。README 未说明显存要求。

需要 CUDA

下载：源码 zip·GitHub Releases（安装包）本站不镜像安装包

项目说明

由 README 自动翻译提炼

没人工点评？写下你的经验

基于 AI 的 C++ 版 FPS/TPS 游戏自动瞄准工具，开箱即用

基于 YOLO12 的 AI 瞄准辅助，支持所有 FPS/TPS 游戏，通过 TensorRT、CUDA 或 DirectML 在 GPU 上推理，并配合 Arduino、KMBox 等硬件实现鼠标控制。

核心能力

用 ONNX 模型检测画面目标并自动瞄准
提供 CUDA+TensorRT 与 DirectML 两种预编译版本
按右键瞄准，F3 暂停，HOME 打开设置面板
首次启动自动导出模型，可放置自定义 .onnx 模型
支持 WindMouse 类人鼠标移动与 KMBOX/MAKCU 硬件

容易踩的坑

预编译包需从 Discord 的 pre-releases 频道下载，不在 GitHub Releases；首次启动导出模型最长约 5 分钟；需自行把 .onnx 模型放进 models 文件夹并在 overlay 中选择；CUDA 版未装 CUDA 13.1 会报缺少 DLL 或启动即退出。

内容由模型根据 README 生成，可能不完整或不准确，以官方文档为准。看原文 README

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README 原文

未翻译

在 GitHub 打开

Sunone Aimbot 2 (C++)

Ready-to-Use Builds (Recommended)

You do NOT need to compile anything if you just want to use the aimbot! Precompiled .exe builds are provided for both CUDA (NVIDIA only) and DirectML (all GPUs).

Download
- Pre-built binaries can be downloaded from the Discord server in the pre-releases channel.

DirectML (DML) Build — Universal (All GPUs)

Works on:
- Any modern GPU (NVIDIA, AMD, Intel, including integrated graphics)
- Windows 10/11 (x64)
- No need for CUDA or special drivers
Recommended for:
- GTX 10xx/9xx/7xx series (old NVIDIA)
- Any AMD Radeon or Intel Iris/Xe GPU
- Laptops and office PCs with integrated graphics

CUDA + TensorRT Build — High Performance (NVIDIA Only)

Works on:
- NVIDIA GPUs GTX 1660, RTX 2000/3000/4000/5000
- Requires: latest NVIDIA graphics driver and CUDA 13.1
- Windows 10/11 (x64)
Not supported: GTX 10xx/Pascal and older (TensorRT limitation)
Includes CUDA+TensorRT runtime files in the precompiled build
TensorRT-10.14.1.48 is only needed separately when building from source.

Before using the CUDA build, update your NVIDIA graphics driver to the latest available version, then install CUDA 13.1. Do this before troubleshooting missing CUDA DLLs or launch-close issues.

Both versions are ready-to-use: just download, unpack, run ai.exe.

How to Run (For Precompiled Builds)

Download and unpack your chosen version (see links above).
For CUDA build, first update your NVIDIA graphics driver to the latest version, then install CUDA 13.1 if not already installed.
For DML build, no extra software is needed.
Run ai.exe. On first launch, the model will be exported (may take up to 5 minutes).
Place your .onnx model in the models folder and select it in the overlay (HOME key).
All settings are available in the overlay. Use the HOME key to open/close overlay.

Controls

Right Mouse Button: Aim at the detected target
F2: Exit
F3: Pause aiming
F4: Reload config
Home: Open/close overlay and settings

Build From Source (Advanced Users)

docs/build.md

📋 Documentation

C++ config reference (config.ini): docs/config.md
Setup, FAQ, troubleshooting: docs/guides.md
Source of truth in code: sunone_aimbot_2/config/config.cpp, sunone_aimbot_2/config/config.h

📚 References & Useful Links

📄 Licenses

OpenCV

License: Apache License 2.0

ImGui

License: MIT License

❤️ Support the Project & Get Better AI Models

This project is actively developed thanks to the people who support it on Boosty and Patreon. By supporting the project, you get access to improved and better-trained AI models!

Need help or want to contribute? Join our Discord server or open an issue on GitHub!

sunone_aimbot_2

怎么上手

项目说明