bill9800 / speech_separation

Include some core functions and model to handle speech separation
MIT License
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Face embeddings #25

Open DunkinDonat opened 4 years ago

DunkinDonat commented 4 years ago

Hi there, i´m a bit confused. Your diagramm displays, that you get 75 1 1 * 1792 face embeddings frome FaceNet. But in the original paper they used 1×1×1024 face embeddings. They used the layer called "avg pool" in FaceNet. In the code -> pretrain_load_test.py it seems like your using the layer "avg pool". But why 1792? Greetings:)