Geological hazard detection algorithm in mining area based on structured pruning
In this paper,a structured pruning target detection algorithm based on YOLOv5s model is proposed to solve the problems of excessive size,many parameters and difficult deployment of conventional algorithms in UAV inspection in mining areas.By traversing the BN layer in the network,the γ are sorted and the global threshold is set to evaluate the importance of the channel and exclude channels below the threshold.The experimental results show that compared with YOLOv5s,the algorithm model is reduced by 52.9%,the detection time is reduced by 18.1%,and the average accuracy is only reduced by 1.5%.
Geological hazards in mining areasYOLOv5sobject detectionstructured pruning
万方数据
维普
