mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
experimental: Dilate mask if blurred in Color Correction
This commit is contained in:
parent
b94ec14853
commit
6f162c5dec
@ -561,7 +561,7 @@ class MaskEdgeInvocation(BaseInvocation):
|
||||
)
|
||||
|
||||
def invoke(self, context: InvocationContext) -> ImageOutput:
|
||||
mask = context.services.images.get_pil_image(self.image.image_name)
|
||||
mask = context.services.images.get_pil_image(self.image.image_name).convert("L")
|
||||
|
||||
npimg = numpy.asarray(mask, dtype=numpy.uint8)
|
||||
npgradient = numpy.uint8(255 * (1.0 - numpy.floor(numpy.abs(0.5 - numpy.float32(npimg) / 255.0) * 2.0)))
|
||||
@ -696,8 +696,13 @@ class ColorCorrectInvocation(BaseInvocation):
|
||||
# Blur the mask out (into init image) by specified amount
|
||||
if self.mask_blur_radius > 0:
|
||||
nm = numpy.asarray(pil_init_mask, dtype=numpy.uint8)
|
||||
inverted_nm = 255 - nm
|
||||
dilation_size = int(round(self.mask_blur_radius) + 20)
|
||||
dilating_kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (dilation_size, dilation_size))
|
||||
inverted_dilated_nm = cv2.dilate(inverted_nm, dilating_kernel)
|
||||
dilated_nm = 255 - inverted_dilated_nm
|
||||
nmd = cv2.erode(
|
||||
nm,
|
||||
dilated_nm,
|
||||
kernel=numpy.ones((3, 3), dtype=numpy.uint8),
|
||||
iterations=int(self.mask_blur_radius / 2),
|
||||
)
|
||||
|
Loading…
Reference in New Issue
Block a user