Patent ID: 11934485
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 0:
1. A method for generating a training sample of a semantic segmentation model, the method comprising:
obtaining, by a device comprising a memory storing instructions and a processor in communication with the memory, an object identifier of a to-be-trained object and a model file corresponding to the object identifier, the model file comprising a three-dimensional model of the to-be-trained object and a skin map set, the skin map set comprising a plurality of solid-color skin maps and a plurality of colorful skin maps;
determining, by the device, transformation models corresponding to the three-dimensional model, each of the transformation models corresponding to a different orientation angle;
generating, by the device, a plurality of sample image groups corresponding to each transformation model according to the plurality of colorful skin maps and each transformation model, each sample image group comprising a plurality of sample images;
generating, by the device, a labeled image of the each sample image group according to the object identifier, the plurality of solid-color skin maps, and each transformation model, the labeled image being used for labeling the sample images in the each sample image group; and
generating, by the device, a training sample of the to-be-trained object according to the labeled image and the each sample image group, to train the semantic segmentation model by using the training sample of the to-be-trained object.