https://github.com/Lu-tju/CSGO_AI
基于yolo的csgo AI
https://github.com/Lu-tju/CSGO_AI
Last synced: 17 days ago
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基于yolo的csgo AI
- Host: GitHub
- URL: https://github.com/Lu-tju/CSGO_AI
- Owner: Lu-tju
- Created: 2020-05-05T01:44:37.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2023-12-14T12:20:10.000Z (over 1 year ago)
- Last Synced: 2024-11-09T17:42:56.356Z (6 months ago)
- Language: Python
- Homepage:
- Size: 388 KB
- Stars: 163
- Watchers: 5
- Forks: 45
- Open Issues: 6
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-yolo-object-detection - Lu-tju/CSGO_AI - tju/CSGO_AI?style=social"/> : 基于YOLOv3的csgo自瞄。 (Object Detection Applications)
README
# CSGO_AI
基于YOLOv3的csgo瞄准AI
----------------------CSGO.py是自己改写的。其余注释及代码来自的:https://blog.csdn.net/qq_34199326/article/details/84072505 ,并按照自己的理解对注释稍加修改
原文件:https://github.com/ayooshkathuria/YOLO_v3_tutorial_from_scratch
直接运行CSGO.py即可
csgo设置:
·鼠标设置中:灵敏度调8,关闭原始数据输入
·视频设置中:窗口化运行,并拖放到屏幕左上角(我的移动鼠标的参数是根据这里的坐标写的,不然移动鼠标不准,大家可以自己测试下全屏时,移动鼠标的输入 量和准星的移动对应关系)
python库:
·获取截图:PIL
·目标检测:YOLOv3相关依赖:numpy opencv-python pytorch等,参见原文
·控制鼠标:pyautogui
权重文件下载:https://pjreddie.com/media/files/yolov3.weights ,直接放到主目录
效果参见:https://www.bilibili.com/video/BV1v5411x7Mr?p=1