Steel product surface defect detection method based on model compression

The invention discloses a steel product surface defect detection method based on model compression, and belongs to the technical field of steel surface defect detection, and the method comprises the following steps: S1, preprocessing a hot rolled strip steel surface defect image sample; s2, building a hot rolled strip steel surface defect detection network based on an anchor-free target detection framework; s3, carrying out model compression on the defect detection network, and training a model by adopting a linear strategy and a training sample; and S4, testing the defect detection network on the independent verification set and outputting a detection speed and a detection result. According to the invention, the steel surface defect detection network for identifying and positioning is firstly established, and then redundant parameters in the defect detection network are removed, so that the high storage space of the model and the consumption of computing resources are reduced, and the defect detection networ