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added my data augmentation changes #24

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added my data augmentation changes #24

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16 changes: 14 additions & 2 deletions src/cultionet/augment/augmentation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -132,8 +132,20 @@ def augment(
bdist_aug = cv2.rotate(np.float32(bdist), deg_dict[deg])

elif 'roll' in aug:
shift = np.random.choice(range(1, int(xaug.shape[0]*0.75)+1), size=1)[0]
xaug = np.roll(xaug, shift=shift, axis=0)
ntime = int(xaug.shape[0]/nbands)
if 'p' in aug:
shift_percent = int(aug.replace('rollp', ''))/100
shift = int(ntime*shift_percent)
elif 's' in aug:
shift = int(aug.replace('rolls', ''))
else:
shift = int(aug.replace('roll', ''))
xaug_copy = np.zeros((int(xaug.shape[0]/nbands), nbands, xaug.shape[1], xaug.shape[2]))
for n in range(nbands):
xaug_copy[:, n] = xaug[ntime*n: ntime*(n+1)]
xaug_copy = np.roll(xaug_copy, shift=shift, axis=0)
for n in range(nbands):
xaug[ntime*n: ntime*(n+1)] = xaug_copy[:, n]
yaug = y.copy()
bdist_aug = bdist.copy()

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2 changes: 1 addition & 1 deletion src/cultionet/data/create.py
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Expand Up @@ -331,7 +331,7 @@ def create_image_vars(
.clip(0, 1))

# Get the band count per index
nbands = int(src_ts.gw.nbands / len(list(set([Path(fn).parent.name for fn in image]))))
nbands = len(list(set([Path(fn).parent.name for fn in image])))
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Thanks for this fix to allow the use of single-band inputs.

The variable name is correct with this change. However, this change impacts the downstream 'flip' augmentation because I was previously using nbands as ntime.

See additional modifications in PR #19

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So I actually wanted to ask you about flipfb, I currently have it turned off. Is the intention of it to reverse time, or is it to reverse the bands? If the latter, I imagine it would be best to have it off if I am using NRGB, correct? (since I don't want it reversing those?) Thanks!


if grid_edges is not None:
# Get the training edges
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