facenet triplet loss with keras

Question

I am trying to implement facenet in Keras with Thensorflow backend and I have some problem with the triplet loss.

I call the fit function with 3*n number of images and t

Answer 1

the loss function in tensorflow requires a list of labels, i.e. list of integers. I think you are passing a 2D matrix, i.e. one hot encoding.

Try this

import keras.backend as K
from tf.contrib.losses.metric_learning import triplet_semihard_loss

def loss(y_true, y_pred):
    y_true = K.argmax(y_true, axis = -1)
    return triplet_semihard_loss(labels=y_true, embeddings=y_pred, margin=1.)