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--- products:sbc:vim4:npu:demos:facenet [2024/12/03 02:49]
louis
+++ products:sbc:vim4:npu:demos:facenet [2025/06/11 22:05] (current)
louis
@@ Line 6: / Line 6: @@
 {{indexmenu_n>6}}
+===== 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 VIM4.
+{{:products:sbc:vim4:npu:demos:facenet-demo-output.webp?400|}}
 ===== Get Source Code =====
@@ Line 28: / Line 37: @@
 ==== Get Convert Tool ====
-Download Tool from [[gl>khadas/vim4_npu_sdk]].
+Download Tool from [[gh>khadas/vim4_npu_sdk]].
 ```shell
 $ git lfs install
-$ git lfs clone https://gitlab.com/khadas/vim4_npu_sdk.git
+$ git lfs clone https://github.com/khadas/vim4_npu_sdk
 $ cd vim4_npu_sdk
 $ ls
@@ Line 43: / Line 52: @@
 <WRAP important>
-If your kernel is older than 241129, please use version before tag ddk-3.4.7.7.
+If your kernel is older than 241129, please use branch npu-ddk-1.7.5.5.
 </WRAP>
@@ Line 163: / Line 172: @@
 $ ./facenet -m ../data/model/facenet_int8.adla -p ../data/img/lin_2.jpg
 ```
-{{:products:sbc:vim4:npu:demos:facenet-demo-output.webp?400|}}
 Here are two comparison methods, **Euclidean distance** and **cosine similarity**.

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