使用CLIP模型进行实体名称和图像相似度匹配

We use the pre-trained multi-modal pre-training model CLIP to encode entity names and entity images separately and calculate their similarity. For entity images, we directly use CLIP for image encoding, while for entity names, we modify them to 'A photo of entity name' and input them into CLIP for text encoding, and then delete images with similarity below the set threshold.