Created
December 12, 2019 21:05
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Create embedding matrix for all images using USE embedding
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| start_time = time.time() | |
| # saving the use embeddings for all the image captions to a numpy array | |
| use_img_embedding = np.zeros((len(image_df),512)) | |
| for i, text in enumerate(image_df.caption.values): | |
| if i % 100000 == 0 and i > 0: | |
| print(f'{i} out of {len(image_df.caption.values)} done in {time.time() - start_time:.2f}s') | |
| emb = use_encoder([text]) | |
| use_img_embedding[i] = emb | |
| print(f'{i} out of {len(image_df.caption.values)} done') | |
| # normalize embeddings | |
| use_img_embedding_normalized = use_img_embedding/np.linalg.norm(use_img_embedding,axis=1).reshape(-1,1) |
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