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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.
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