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nodes: ImagePadForOutpaint: fix feathering, ignore edges not expanded

pull/224/head
Guo Y.K 2 years ago
parent
commit
4c01386c19
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  1. 43
      nodes.py

43
nodes.py

@ -1,3 +1,5 @@
import math
import torch import torch
import os import os
@ -942,28 +944,31 @@ class ImagePadForOutpaint:
dtype=torch.float32, dtype=torch.float32,
) )
if feathering > 0 and feathering * 2 < d2 and feathering * 2 < d3: t = torch.zeros(
# distances to border (d2, d3),
mi, mj = torch.meshgrid( dtype=torch.float32
torch.arange(d2, dtype=torch.float32),
torch.arange(d3, dtype=torch.float32),
indexing='ij',
)
distances = torch.minimum(
torch.minimum(mi, mj),
torch.minimum(d2 - 1 - mi, d3 - 1 - mj),
) )
# convert distances to square falloff from 1 to 0
t = (feathering - distances) / feathering if feathering > 0 and feathering * 2 < d2 and feathering * 2 < d3:
t.clamp_(min=0)
t.square_() for i in range(d2):
for j in range(d3):
dt = i if top != 0 else d2
db = d2 - i if bottom != 0 else d2
dl = j if left != 0 else d3
dr = d3 - j if right != 0 else d3
d = min(dt, db, dl, dr)
if d >= feathering:
continue
v = (feathering - d) / feathering
t[i, j] = v * v
mask[top:top + d2, left:left + d3] = t mask[top:top + d2, left:left + d3] = t
else:
mask[top:top + d2, left:left + d3] = torch.zeros(
(d2, d3),
dtype=torch.float32,
)
return (new_image, mask) return (new_image, mask)

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