Comments (2)
Hi!
A few more questions on this:
- how does Niftynet choose which patch of the image to analyze (meaning which location)? is it random in each input image?
- in each iteration (and considering that batch_size is 1), Niftynet will only find the features that explain that one patch with 'spatial_window_size' dimensions?
- when batch_size is more than 1, will it select patches from different inputs? or from the same input image?
thanks in advance!
from niftynet.
It tells NiftyNet how big a patch to load in at a time.
For the multiples of 8, this is normally because for multi-scale approaches, it will allow the patches to be stacked without padding.
from niftynet.
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