doctorye / np-to-tf-embeddings-visualiser

Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard

np-to-tf-embeddings-visualiser

Update: see https://github.com/lanpa/tensorboard-pytorch for a more full-fledged alternative to this

Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard

To run the example, just: python example.py

Then navigate to the embeds directory created by that script and run tensorboard with: tensorboard --logdir=embeds

Then head to http://localhost:6006/ and click Embeddings.