Yolov5 improvements: add attention mechanism (video tutorial)

Course link ：https://download.csdn.net/course/detail/37530

PyTorch Version of YOLOv5 It is a very popular target detector at present , This course is about YOLOv5 Ways to add attention mechanisms , To improve its performance .

This course is in YOLOv5 v6.1 Add attention mechanism on the basis of version code , stay Windows Systems and Ubuntu The system demonstrates adding attention mechanism to your own data set 、 Focus on the training and performance evaluation process , And explain the principle of attention mechanism model and code modification for adding attention mechanism .

Right in the course YOLOv5 The following attention mechanism has been added ：SE、CBAM、ECA、CA.

The actual combat process of the project includes ：PyTorch Environmental installation 、YOLOv5 Project installation 、 Prepare your own dataset 、 Modify the configuration file 、 Training network model and performance evaluation .