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--- products:sbc:edge2:npu:demos:facenet [2023/09/19 22:41]
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+++ products:sbc:edge2:npu:demos:facenet [2025/04/09 23:38] (current)
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@@ Line 5: / Line 5: @@
 {{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.
+Here takes **lin_1.jpg** as example. Inference results on Edge2.
+{{:products:sbc:edge2:npu:demos:facenet-result.png?400|}}
+===== Train Model =====
 The codes we use [[gh>bubbliiiing/facenet-pytorch]].
@@ Line 136: / Line 144: @@
 ==== Get source code ====
-Clone the source code form our [[gh>khadas/edge2-npu]].
+Clone the source code from our [[gh>khadas/edge2-npu]].
 ```shell

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