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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.

Documentation

See the YOLOv5 Docs for full documentation on training, testing and deployment.

视频成品请前往 v2

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aimcf_yolov5's Issues

瞄不准

在游戏外面用图片测试的话 是瞄的很准,但是在游戏里面就瞄不准了 这是怎么回事

How to use it?

Hi, I want to try it in the game, but I don't know how to use it.
Could u plz tell me?
Thx very much!

没有自瞄

代码可以跑起来,浮悬窗也有,按键了开了,但是没有自瞄,是什么问题呢

自瞄开启设定

我想实现在鼠标按下时锁定,松开时解锁该如何设定?
还有就是在锁定时的鼠标移动速度,configs,py文件里不能设定。

自瞄不生效

使用main.py 运行后 有悬浮窗以及方框显示 ,但是开启自瞄鼠标没有响应 按下侧键重新开关也无反应。使用的是罗技鼠标 电脑带有最新的ghub

啓動報錯

運行main.py后如下報錯,up主可以幫忙看下什麽原因嗎?謝謝!
罗技驱动加载状态: 0
飞易来/文盒驱动加载状态: 1
进程 auto_aim 启动 ...
进程 img_show 启动 ...
进程 img_init 启动 ...
模型加载完毕 ...
Process Process-3:
Traceback (most recent call last):
File "D:\ITTools\anaconda\envs\pytorch\lib\multiprocessing\process.py", line 315, in _bootstrap
self.run()
File "D:\ITTools\anaconda\envs\pytorch\lib\multiprocessing\process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "D:\ITTools\pythonworkspace\aimcf_yolov5-2\main.py", line 56, in img_init
model, device, half, stride, names, imgsz = load_model_infos()
File "D:\ITTools\pythonworkspace\aimcf_yolov5-2\tools\get_model.py", line 22, in load_model_infos
model(torch.zeros(1, 3, *imgsz).to(device).type_as(next(model.parameters()))) # run once
File "D:\ITTools\anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\ITTools\pythonworkspace\aimcf_yolov5-2\models\yolo.py", line 126, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "D:\ITTools\pythonworkspace\aimcf_yolov5-2\models\yolo.py", line 149, in _forward_once
x = m(x) # run
File "D:\ITTools\anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "D:\ITTools\anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\upsampling.py", line 154, in forward
recompute_scale_factor=self.recompute_scale_factor)
File "D:\ITTools\anaconda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 1207, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'

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