https://github.com/Lucid1ty/Yolov5ForCSGO

CSGO agent detection and auto aim
https://github.com/Lucid1ty/Yolov5ForCSGO

aimbot auto-aim autoaim chinese computer-vision csgo detection english object-detection python python3 pytorch yolov5

Last synced: 12 days ago
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CSGO agent detection and auto aim

• Host: GitHub
• URL: https://github.com/Lucid1ty/Yolov5ForCSGO
• Owner: Lucid1ty
• License: gpl-3.0
• Created: 2022-05-27T06:13:27.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-22T00:16:44.000Z (about 1 month ago)
• Last Synced: 2024-05-22T01:28:47.937Z (about 1 month ago)
• Topics: aimbot, auto-aim, autoaim, chinese, computer-vision, csgo, detection, english, object-detection, python, python3, pytorch, yolov5
• Language: Python
• Homepage:
• Size: 26.8 MB
• Stars: 110
• Watchers: 3
• Forks: 19
• Open Issues: 13
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md

Lists

• awesome-yolo-object-detection - Lucid1ty/Yolov5ForCSGO

README

        


# 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)

![GitHub Repo stars](https://img.shields.io/github/stars/Lucid1ty/Yolov5ForCSGO?style=social)

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   This project uses YOLOv5 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 Ultralytics

 open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.





   

   

   





## 
YOLOv5 Documentation


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

## 
Quick Start


Install

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

```

Use



Please use administrator privileges to open you Pycharm(or other IDE),and change you CSGO settings : Keyboard&Mouse -> Raw Input -> OFF

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

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

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

After you run main.py, you will see a detection window, you can click mouse5 to open aim mode

Close the program : click the detection window and press q



## 
Contribute


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

## 
Contact


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



    

        

    



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

## 
Reference


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

## 
Star History


[![Star History Chart](https://api.star-history.com/svg?repos=Lucid1ty/Yolov5ForCSGO&type=Timeline)](https://star-history.com/#Lucid1ty/Yolov5ForCSGO&Timeline)