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products:sbc:edge2:npu:demos:facenet [2023/09/20 03:12] louis |
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- | ===== Get Source Code ===== | + | ===== Introduction ===== |
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+ | 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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+ | ===== Train Model ===== | ||
The codes we use [[gh> | The codes we use [[gh> |