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Kokilarathan siva01 addition #1502

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Commits on May 11, 2023

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  3. Final improvement, top performance v3

    instead of looping through all stored encodings for each detected face, this code first computes the encodings of all detected faces and then computes the Euclidean distance between the encodings of all detected faces and all stored encodings at once using NumPy broadcasting. This approach is likely to be much faster than the previous approach for large datasets.
    kokilarathan-siva01 committed May 11, 2023
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