Deep learning-based pavement disease identification method and device, medium and equipment

The embodiment of the invention provides a pavement disease recognition method and device based on deep learning, a medium and equipment. The method comprises the following steps: acquiring a to-be-recognized road surface image obtained by shooting a target road section; the to-be-recognized pavemen...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CAI ZHIXING, YE HUAIGE, LI XUFANG, XIAO PINGHUI, LIU JIE, SU MINXIAN, WU DINGHONG, CHEN ZEBIN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The embodiment of the invention provides a pavement disease recognition method and device based on deep learning, a medium and equipment. The method comprises the following steps: acquiring a to-be-recognized road surface image obtained by shooting a target road section; the to-be-recognized pavement image is input into a pre-trained pavement disease instance segmentation model, so that the pavement disease instance segmentation model determines category information and contour information of pavement diseases included in the to-be-recognized pavement image, the pavement disease instance segmentation model is based on a Yolov8-seg model, and the classification information and the contour information of the pavement diseases included in the to-be-recognized pavement image are obtained. A convolution attention mechanism is introduced into a c2f module, an SPPFCSPC module is adopted to replace an SPPF module in an original model, and an Inner Iou loss function is added on the basis of the original model; and det