Reputation: 12384
The network I'm working on in TensorFlow produces a pixel-wise labeling result. TensorBoard is very helpful for viewing the data during training, but if I simply add 3 image_summary
s I get an layout of the images something like:
o1
o2
o3
l1
l2
l3
p1
p2
p3
(where o#
is the original image, l#
is the ground truth labels, and p#
is the predicted labels). What I would prefer to see is a layout like:
o1 l1 p1
o2 l2 p2
o3 l3 p3
As this would make comparing the results much easier. Does TensorBoard provide any convenient way of achieving this? Or would taking all the images, mapping non-RGB ones RGB, and simply concatenating them to make one long image be the best solution? Thank you much!
Upvotes: 4
Views: 1321
Reputation: 783
You can pin the images which you want to compare side by side.
Below is the tensorboard images which I am using in Colab Notebook.
Upvotes: 0
Reputation: 1782
TensorBoard doesn't have solution for this at the moment; concatenating the images, like you proposed, would be a reasonable workaround.
I suggest filing a feature request on our Github :) the image dashboard is in need of some love, lots of people are using it and want improved layout and behavior.
Upvotes: 5