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

I have met the same problem, and I did some research work. I think it is because triplelet loss needs multiple inputs, which may cause the network to generate outputs like that. I haven't fix the problem yet, but you can check the issue page of keras for more details https://github.com/keras-team/keras/issues/9498.

In the issue page, I implemented a fake dataset and a fake triplet loss to repreduce the problem, after I changed the input structure of the network, the loss becomes normal