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--- products:sbc:edge2:npu:demos:face-recognition [2023/09/20 03:17]
louis created
+++ products:sbc:edge2:npu:demos:face-recognition [2025/04/09 23:43] (current)
louis
@@ Line 1: / Line 1: @@
 ~~tag> NPU RetinaFace FaceNet Edge2 ~~
-====== Face Recognition VIM4 Demo - 7 ======
+====== Face Recognition Edge2 Demo - 7 ======
 {{indexmenu_n>7}}
+===== Introduction =====
+Face Recognition Demo consists of two models, RetinaFace and FaceNet. It can detect face on image and recognize who it is. 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. Only show cosine similarity.
+{{:products:sbc:edge2:npu:demos:face-recognition-result.png?200|}} {{:products:sbc:edge2:npu:demos:result.jpg?400|}}
+**Inference speed test**: USB camera about **44ms** per frame. MIPI camera about **33ms** per frame.
 <WRAP important >
@@ Line 59: / Line 69: @@
 ```
-Put your full face photo into the ''edge2-npu/C++/face_recognition/data/img''. Recompile and run mode 1 to generate ''face_feature_lib''. Put ''face_feature_lib'' in ''face_recognition_cap/install/face_recognition_cap/data''.
+Put your full face photo into the ''edge2-npu/C++/face_recognition/data/img''. Recompile and run mode 1 to generate ''face_feature_lib''. Put ''face_feature_lib'' in ''edge2-npu/C++/face_recognition_cap/install/face_recognition_cap/data''.
 ```shell
-# Run
+# Run USB camera
 $ cd install/retinaface_cap
-$ ./face_recognition data/model/retinaface.rknn data/model/facenet.rknn 33
+$ ./face_recognition data/model/retinaface.rknn data/model/facenet.rknn usb 60
+# Run MIPI camera
+$ cd install/retinaface_cap
+$ ./face_recognition data/model/retinaface.rknn data/model/facenet.rknn mipi 42
 ```
-''33'' is camera device index.
+<WRAP info >
+''60'' and ''42'' are camera device index.
+</WRAP>

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