Signal planar graph signal machine identification method and system based on deep learning

The invention provides a signal plane graph signal machine identification method and system based on deep learning. The method comprises the following steps: acquiring a signal plane graph to be identified; identifying a signal machine in the signal plane graph by adopting a signal machine identification network; and the signal machine identification network is a neural network based on YOLOv5-s. According to the signal planar graph signal machine identification method and system based on deep learning, a Signal-Net identification network suitable for a signal planar graph is provided on the basis of a YOLOv5-s network, and a signal machine target in a high-resolution drawing can be accurately detected. The model parameter quantity is moderate while the identification precision of the network on the signal machine is ensured, and the requirement of real-time operation on the edge computing equipment is met. 本发明提供一种基于深度学习的信号平面图信号机识别方法及系统，方法包括：获取待识别的信号平面图；采用信号机识别网络识别所述信号平面图中的信号机；所述信号机识别网络为基于YOLOv5-s的神经网络。本发明的基于