Patent ID: 11969903
Assignee: ZHEJIANG HENGYI PETROCHEMICAL CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 2:
3. The method according to claim 2, wherein the target detection model comprises at least a first network layer, a second network layer and a third network layer;
wherein the first network layer comprises at least a first sub-network layer, a second sub-network layer and a third sub-network layer; the first sub-network layer is configured to perform first convolution processing on an input image to obtain a first convolution feature map; the second sub-network layer is configured to perform linear processing on the first convolution feature map to obtain a linear feature map, and perform connection processing on the linear feature map and the first convolution feature map to obtain a connection feature map; and the third sub-network layer is configured to perform second convolution processing on the connection feature map to obtain a second convolution feature map;
the second network layer is configured to perform first convolution processing on the connection feature map and the second convolution feature map respectively, and perform feature fusion processing on processed results to obtain a fusion feature map; and
the third network layer comprises a fourth sub-network layer and a fifth sub-network layer, the fourth sub-network layer is configured to identify the mechanical gripper or the target spindle with yarn in an image based on the fusion feature map; and the fifth sub-network layer is configured to obtain the center position of the mechanical gripper in the image or the center position of the target spindle with yarn in the image based on the fusion feature map.