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Yolov5ForCSGO

★ 152 Open GitHub ↗

CSGO agent detection and auto aim

// repository documentation

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# Yolov5ForCSGO

![detectwindow.png](https://s2.loli.net/2023/09/23/8fuIMHGNLDRvZca.png)

English | [简体中文](https://github.com/Lucid1ty/Yolov5ForCSGO/blob/main/.github/README_cn.md)

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<div>

</div>
<p>
   This project uses <a href="https://github.com/ultralytics/yolov5">YOLOv5</a> to realize character detection in CSGO games and auto aim

YOLOv5 🚀 is a family of object detection architectures and models pretrained on the COCO dataset, and represents <a href="https://ultralytics.com">Ultralytics</a>
 open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
</p>

</div>

## <div align="center">YOLOv5 Documentation</div>

See the [YOLOv5 Docs](https://docs.ultralytics.com) for full documentation on training, testing and deployment.

## <div align="center">Quick Start</div>

<details open>
<summary>Install</summary>

Download repo and install [requirements.txt](https://github.com/Lucid1ty/Yolov5ForCSGO/blob/main/requirements.txt) in a [**Python>=3.7.0**](https://www.python.org/) environment, including [**PyTorch>=1.7**](https://pytorch.org/get-started/locally/).

```bash
pip install -r requirements.txt
```

</details>

<details open>
<summary>Use</summary>
<ul>
<li>Please use administrator privileges to open you Pycharm(or other IDE),and change you CSGO settings : Keyboard&Mouse -> Raw Input -> OFF</li>
<li>If you don't have a weight file and want to directly use the weight file I provide you, just run main.py under the aim-csgo directory</li>
<li>If you already have a weight file (similar to xxx.pt) and don't want to use the weight file I provide you, open the directory aim-csgo/CSGOModels, put your own weight file in it, and then open aim-csgo/cs_model.py, modify the code in line 13 (change it to your own weight file path). Then run main.py</li>
<li>If you don't have a weight file and don't want to use the weight file provided by me, please train your own weight file first, and then refer to the previous one</li>
<li>After you run main.py, you will see a detection window, you can click mouse5 to open aim mode</li>
<li>Close the program : click the detection window and press q</li>
</ul>

</details>

## <div align="center">Contribute</div>

Please see [Contributing Guide](CONTRIBUTING.md) to get started,Thank you to all our contributors!

## <div align="center">Contact</div>

For Yolov5ForCSGO bugs and feature requests please visit [GitHub Issues](https://github.com/Lucid1ty/Yolov5ForCSGO/issues).

[assets]: https://github.com/Lucid1ty/Yolov5ForCSGO/releases

## <div align="center">Reference</div>

https://www.bilibili.com/video/BV1b64y1q7sC

## <div align="center">Star History</div>

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Yolov5ForCSGO

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