Bridge structure identification method based on Faster-RCNN neural network

The invention discloses a bridge structure identification method based on a Faster-RCNN neural network, and relates to the technical field of bridge structure identification. According to the method, the Faster-RCNN neural network is improved by adjusting the structure of the first convolutional block network, replacing the activation function and using the packet convolution, and the obtained image is input into the trained Faster-RCNN neural network for bridge structure recognition, so that a smaller model can be used when the bridge structure is recognized, higher accuracy is realized, and the method is more suitable for popularization and application. The convergence speed is higher; and the robustness is higher. Compared with the prior art, the method has the advantages that the correct recognition rate is high, the model size is relatively small, and the method can stably and efficiently operate on a computer with low configuration, so that the method can be quickly and massively applied to bridge overh