SE注意机制提高检测精度的过程： 1确定添加注意力模块的位置本实验在不改变YOLOv5原有的backbone主干网络的基础上在末尾添加SE注意力机制模块即在models中的parse_model函数中添加注意力模块来提升其对重要特征的提取能力。 2修改配置文件yolov5s_seyaml文件。 3将trainpy中改为本文的yolov5s_seyaml文件即可即可开始训练进行验证。could yo

SE Attention Mechanism for Improved Detection Accuracy:

(1) Determine the location to add the attention module. In this experiment, the SE attention mechanism module was added at the end of the YOLOv5 backbone network, without changing the original backbone network. The attention module was added in the parse_model function in the models module to improve the network's ability to extract important features.

(2) Modify the configuration file - yolov5s_se.yaml.

(3) Replace the configuration file in train.py with the yolov5s_se.yaml file in this article, and begin training to verify the improved detection accuracy.