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Facing problem to run the cosine similarity search, as the input size not matching with the data fitted into the model.
#1
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priyasaravana
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Facing problem to run the cosine similarity search, as the input size not matching with the data fitted into the model. Could you explain it bit further to fix teh same.
We use the "packed" version of the embeddings to compute hamming distance, which keeps every feature compressed into 1 bit.
If you want to use cosine similarity you need to use the non-packed version of the embeddings
Change line 158 from:
nn_search.fit(np.packbits((ft_visual_features_database > 0.0).astype(bool), axis=1), o_data=ft_visual_features_database)
to:
nn_search.fit(ft_visual_features_database)
If you want to run cosine similarity search
Thanks for the response.. I got it
priyasaravana
changed discussion status to
closed