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I want to use FaceNet as a embedding layer (which won't be trainable).

I tried loading FaceNet like so :

tf.keras.models.load_model('./path/tf_facenet')

where directory ./path/tf_facenet contains 4 files that can be downloaded at https://drive.google.com/file/d/0B5MzpY9kBtDVZ2RpVDYwWmxoSUk/edit but a message error shows up :

OSError: SavedModel file does not exist at: ./path/tf_facenet/{saved_model.pbtxt|saved_model.pb}

And the h5 files downloaded from https://github.com/nyoki-mtl/keras-facenet doesn't seem to work either (they use tensorflow 1.3)

maggle
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1 Answers1

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I had issued like you when load model facenet-keras. Maybe you python env missing h5py modules. So you should install that conda install h5py Hope you success!!!

Anh Vong Ho
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