Bridge crack detection and crack three-dimensional visualization method and system

The invention discloses a bridge crack detection and crack three-dimensional visualization method and system, and belongs to the technical field of target detection. A robot is used for carrying out two-dimensional image acquisition on a bridge disease related area to obtain a target detection model, and the target detection model is primarily extracted based on a YOLOv2 algorithm; target pixel-level segmentation comprises pixel-by-pixel segmentation of a target detection model based on a U-net neural network, and three-dimensional reconstruction comprises building a three-dimensional model by using a erf neural network and a multi-angle two-dimensional image, and adding the target detection model in a pixel-level segmentation stage into the three-dimensional model. According to the invention, the two-dimensional image is utilized to identify the target and establish the three-dimensional model, the target object in the two-dimensional image is marked in the three-dimensional model, the three-dimensional visu