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Produce the visual embedding #21
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Maybe you have too many images and TensorBoard will take forever to run PCA? Try a minimal example with maybe two images. |
Even with 2 images(MNIST dataset, dimension 64), this still hang on |
Not sure what happens then. Maybe check stackoverflow: https://stackoverflow.com/questions/44054907/tensorfboard-embeddings-hangs-with-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. |
Hi, thanks for sharing your project,
I would like to know how to produce visual embeddings like shown in project page.
I guessed that after execute
python visualize_embeddings.py --model_dir experiments/base_model
, I could see it in Tensorboard at projector's tab, but I get hang oncomputing PCA
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