Material completeness detection method and apparatus, and storage medium

A material completeness detection method, for detecting whether materials of a target object in a physical production line are complete, comprising:

• inputting an image of the target object into a material completeness detection algorithm to acquire a first detection result;
• inputting a virtual model of the target object in a virtual production line into the material completeness detection algorithm to acquire a second detection result, wherein the virtual production line is a digital twin (DT) of the physical production line;
• and
• acquiring a material completeness detection result of the target object based on the first detection result and the second detection result;
• the material completeness detection algorithm comprises:
• a backbone feature extraction network, configured to receive the image, and extract a backbone feature of the image to generate a 160*160 feature layer, an 80*80 feature layer, a 40*40 feature layer, and a 20*20 feature layer;
• an enhanced feature extraction network, configured to extract an enhanced feature from the input 160*160 feature layer, 80*80 feature layer, 40*40 feature layer and 20*20 feature layer to generate a 160*160*128 enhanced feature layer, an 80*80*256 enhanced feature layer, a 40*40*512 enhanced feature layer, and a 20*20*1,024 enhanced feature layer;
• and
• an output network, configured to output a detection result based on the 160*160*128 enhanced feature layer, the 80*80*256 enhanced feature layer, the 40*40*512 enhanced feature layer, and the 20*20*1,024 enhanced feature layer;
• the material completeness detection algorithm is defined as any logic for determining if production of a material is complete.