国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the problem that the detection accuracy of amnesia in the cockpit of automobiles is not high, a detection method based on the improved YOLOv5s automotive cockpit forgetting is proposed. The detection method uses YOLOv5s as the basic network and improves on this basis. Firstly, the SE attention module is introduced at the tail of the backbone network to strengthen the model"s attention to channel information and improve the object detection performance. Secondly, the spatial pyramid pooling module is improved, and the original SPPF module is improved to the SPPCSPC module, which further improves the accuracy of the detection model by adding a little calculation. Finally, the GSConv layer is introduced at the same time, which balances the accuracy of the model and the detection speed while ensuring the semantic information. Experimental results show that compared with the original YOLOv5s network, the average accuracy mean mAP of the improved network is increased by 2%, and the accuracy is increased by 3.5%. The improved network has a good improvement effect, which shows the effectiveness of the method.