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BUG: restoration cnn channel_axes parameter check fix #241

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merged 1 commit into from
Sep 8, 2022
Merged

BUG: restoration cnn channel_axes parameter check fix #241

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6 changes: 6 additions & 0 deletions aydin/nn/util/data_util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,11 @@ def random_sample_patches(
which we call patch. Also sorts the patches, and makes sure only patches with
higher entropy in the intensity histogram are selected.

To be able to work with any adoption_rate between 0 and 1, we accordingly
generate more patches per image during patch generation. After sorting, we
are able to apply the adoption rate to the total number of patches we generated
for each image.

Parameters
----------
image : numpy.ArrayLike
Expand All @@ -21,6 +26,7 @@ def random_sample_patches(

Returns
-------
List of Tuples of Slicing Objects

"""
list_of_slice_objects = []
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2 changes: 1 addition & 1 deletion aydin/restoration/denoise/noise2selfcnn.py
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Expand Up @@ -184,7 +184,7 @@ def train(self, noisy_image, *, batch_axes=None, chan_axes=None, **kwargs):

"""
with lsection("Noise2Self train is starting..."):
if any(chan_axes):
if chan_axes:
return

self.it = self.get_translator()
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