@vladmandic/human - v3.3.6
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    Function similarity

    • Calculates normalized similarity between two face descriptors based on their distance

      Parameters

      • descriptor1: Descriptor
      • descriptor2: Descriptor
      • options: MatchOptions = ...

        calculation options

        • order - algorithm to use Euclidean distance if order is 2 (default), Minkowski distance algorithm of nth order if order is higher than 2
        • multiplier - by how much to enhance difference analysis in range of 1..100 default is 20 which normalizes results to similarity above 0.5 can be considered a match
        • min - normalize similarity result to a given range
        • max - normalzie similarity resutl to a given range default is 0.2...0.8 Returns similarity between two face descriptors normalized to 0..1 range where 0 is no similarity and 1 is perfect similarity

      Returns number