Produce the visual embedding about tensorflow-triplet-loss HOT 4 OPEN

Maybe you have too many images and TensorBoard will take forever to run PCA?

Try a minimal example with maybe two images.

from tensorflow-triplet-loss.

Even with 2 images(MNIST dataset, dimension 64), this still hang on computing PCA.

from tensorflow-triplet-loss.

Not sure what happens then.

Maybe check stackoverflow: https://stackoverflow.com/questions/44054907/tensorfboard-embeddings-hangs-with-computing-pca

from tensorflow-triplet-loss.

Even with 2 images(MNIST dataset, dimension 64), this still hang on computing PCA.

There was a bug in (or until) tensorboard 1.11 which prevented the embeddings from being plotted. tensorflow/tensorboard#1480 The bug is fixed for v1.12 or if you prefer to stick to earlier version of tensorboard, then patch it with this patch tensorflow/tensorboard#1481 and compile tensorboard yourself. I had the same problem.

from tensorflow-triplet-loss.