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author | AUTOMATIC1111 <16777216c@gmail.com> | 2024-03-02 04:03:13 +0000 |
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committer | AUTOMATIC1111 <16777216c@gmail.com> | 2024-03-02 04:03:13 +0000 |
commit | bef51aed032c0aaa5cfd80445bc4cf0d85b408b5 (patch) | |
tree | 42957c454a4ac8d98488f19811b60359d05d88ba /modules/masking.py | |
parent | cf2772fab0af5573da775e7437e6acdca424f26e (diff) | |
parent | 13984857890401e8605a3e53bd671e900a18d73f (diff) | |
download | stable-diffusion-webui-gfx803-bef51aed032c0aaa5cfd80445bc4cf0d85b408b5.tar.gz stable-diffusion-webui-gfx803-bef51aed032c0aaa5cfd80445bc4cf0d85b408b5.tar.bz2 stable-diffusion-webui-gfx803-bef51aed032c0aaa5cfd80445bc4cf0d85b408b5.zip |
Merge branch 'release_candidate'
Diffstat (limited to 'modules/masking.py')
-rw-r--r-- | modules/masking.py | 43 |
1 files changed, 9 insertions, 34 deletions
diff --git a/modules/masking.py b/modules/masking.py index be9f84c7..29a39452 100644 --- a/modules/masking.py +++ b/modules/masking.py @@ -3,40 +3,15 @@ from PIL import Image, ImageFilter, ImageOps def get_crop_region(mask, pad=0):
"""finds a rectangular region that contains all masked ares in an image. Returns (x1, y1, x2, y2) coordinates of the rectangle.
- For example, if a user has painted the top-right part of a 512x512 image", the result may be (256, 0, 512, 256)"""
-
- h, w = mask.shape
-
- crop_left = 0
- for i in range(w):
- if not (mask[:, i] == 0).all():
- break
- crop_left += 1
-
- crop_right = 0
- for i in reversed(range(w)):
- if not (mask[:, i] == 0).all():
- break
- crop_right += 1
-
- crop_top = 0
- for i in range(h):
- if not (mask[i] == 0).all():
- break
- crop_top += 1
-
- crop_bottom = 0
- for i in reversed(range(h)):
- if not (mask[i] == 0).all():
- break
- crop_bottom += 1
-
- return (
- int(max(crop_left-pad, 0)),
- int(max(crop_top-pad, 0)),
- int(min(w - crop_right + pad, w)),
- int(min(h - crop_bottom + pad, h))
- )
+ For example, if a user has painted the top-right part of a 512x512 image, the result may be (256, 0, 512, 256)"""
+ mask_img = mask if isinstance(mask, Image.Image) else Image.fromarray(mask)
+ box = mask_img.getbbox()
+ if box:
+ x1, y1, x2, y2 = box
+ else: # when no box is found
+ x1, y1 = mask_img.size
+ x2 = y2 = 0
+ return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask_img.size[0]), min(y2 + pad, mask_img.size[1])
def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height):
|