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products:sbc:edge2:npu:demos:facenet

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products:sbc:edge2:npu:demos:facenet [2023/09/20 03:12]
louis
products:sbc:edge2:npu:demos:facenet [2025/04/09 23:38] (current)
louis
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 {{indexmenu_n>6}} {{indexmenu_n>6}}
  
-===== Get Source Code =====+===== Introduction ===== 
 + 
 +FaceNet is a face recognition model. It will convert a face image into a feature map. Compare the feature map between image and face database. Here are two judgment indicators, cosine similarity and Euclidean distance. The closer the cosine similarity is to 1 and the closer the Euclidean distance is to 0, the more similar is between two faces. 
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 +Here takes **lin_1.jpg** as example. Inference results on Edge2. 
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 +{{:products:sbc:edge2:npu:demos:facenet-result.png?400|}} 
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 +===== Train Model =====
  
 The codes we use [[gh>bubbliiiing/facenet-pytorch]]. The codes we use [[gh>bubbliiiing/facenet-pytorch]].
Last modified: 2025/04/09 23:38 by louis