Ferrographic image multi-abrasive-particle identification method based on single-stage detection model yolov3

The invention discloses a ferrographic image multi-abrasive-particle identification method based on a single-stage detection model yolov3. The invention provides a ferrographic image multi-abrasive-particle identification method. The method comprises the following steps: firstly, improving a backbone network of a yoov3 model; adding a spatial pyramid pooling module; replacing an IOU loss functionof an original yov3 model with a GIOU loss function, expanding a yoto layer scale is expanded, and the like. And by improving a yov3 backbone network, the problems that in the ferrographic abrasive particle recognition process, the recognition rate of similar abrasive particles is low, and the omission ratio of small abrasive particles is high are effectively solved. According to the ferrographicimage multi-abrasive-particle identification method provided by the invention, the BN layer and the convolution layer of the model are fused, so that the network structure is simplified, the additional calculation amount broug