|
|
@ -144,8 +144,8 @@ class ImageColorToMask: |
|
|
|
FUNCTION = "image_to_mask" |
|
|
|
FUNCTION = "image_to_mask" |
|
|
|
|
|
|
|
|
|
|
|
def image_to_mask(self, image, color): |
|
|
|
def image_to_mask(self, image, color): |
|
|
|
temp = (torch.clamp(image[0], 0, 1.0) * 255.0).round().to(torch.int) |
|
|
|
temp = (torch.clamp(image, 0, 1.0) * 255.0).round().to(torch.int) |
|
|
|
temp = torch.bitwise_left_shift(temp[:,:,0], 16) + torch.bitwise_left_shift(temp[:,:,1], 8) + temp[:,:,2] |
|
|
|
temp = torch.bitwise_left_shift(temp[:,:,:,0], 16) + torch.bitwise_left_shift(temp[:,:,:,1], 8) + temp[:,:,:,2] |
|
|
|
mask = torch.where(temp == color, 255, 0).float() |
|
|
|
mask = torch.where(temp == color, 255, 0).float() |
|
|
|
return (mask,) |
|
|
|
return (mask,) |
|
|
|
|
|
|
|
|
|
|
@ -167,7 +167,7 @@ class SolidMask: |
|
|
|
FUNCTION = "solid" |
|
|
|
FUNCTION = "solid" |
|
|
|
|
|
|
|
|
|
|
|
def solid(self, value, width, height): |
|
|
|
def solid(self, value, width, height): |
|
|
|
out = torch.full((height, width), value, dtype=torch.float32, device="cpu") |
|
|
|
out = torch.full((1, height, width), value, dtype=torch.float32, device="cpu") |
|
|
|
return (out,) |
|
|
|
return (out,) |
|
|
|
|
|
|
|
|
|
|
|
class InvertMask: |
|
|
|
class InvertMask: |
|
|
@ -209,7 +209,8 @@ class CropMask: |
|
|
|
FUNCTION = "crop" |
|
|
|
FUNCTION = "crop" |
|
|
|
|
|
|
|
|
|
|
|
def crop(self, mask, x, y, width, height): |
|
|
|
def crop(self, mask, x, y, width, height): |
|
|
|
out = mask[y:y + height, x:x + width] |
|
|
|
mask = mask.reshape((-1, mask.shape[-2], mask.shape[-1])) |
|
|
|
|
|
|
|
out = mask[:, y:y + height, x:x + width] |
|
|
|
return (out,) |
|
|
|
return (out,) |
|
|
|
|
|
|
|
|
|
|
|
class MaskComposite: |
|
|
|
class MaskComposite: |
|
|
@ -232,27 +233,28 @@ class MaskComposite: |
|
|
|
FUNCTION = "combine" |
|
|
|
FUNCTION = "combine" |
|
|
|
|
|
|
|
|
|
|
|
def combine(self, destination, source, x, y, operation): |
|
|
|
def combine(self, destination, source, x, y, operation): |
|
|
|
output = destination.clone() |
|
|
|
output = destination.reshape((-1, destination.shape[-2], destination.shape[-1])).clone() |
|
|
|
|
|
|
|
source = source.reshape((-1, source.shape[-2], source.shape[-1])) |
|
|
|
|
|
|
|
|
|
|
|
left, top = (x, y,) |
|
|
|
left, top = (x, y,) |
|
|
|
right, bottom = (min(left + source.shape[1], destination.shape[1]), min(top + source.shape[0], destination.shape[0])) |
|
|
|
right, bottom = (min(left + source.shape[-1], destination.shape[-1]), min(top + source.shape[-2], destination.shape[-2])) |
|
|
|
visible_width, visible_height = (right - left, bottom - top,) |
|
|
|
visible_width, visible_height = (right - left, bottom - top,) |
|
|
|
|
|
|
|
|
|
|
|
source_portion = source[:visible_height, :visible_width] |
|
|
|
source_portion = source[:visible_height, :visible_width] |
|
|
|
destination_portion = destination[top:bottom, left:right] |
|
|
|
destination_portion = destination[top:bottom, left:right] |
|
|
|
|
|
|
|
|
|
|
|
if operation == "multiply": |
|
|
|
if operation == "multiply": |
|
|
|
output[top:bottom, left:right] = destination_portion * source_portion |
|
|
|
output[:, top:bottom, left:right] = destination_portion * source_portion |
|
|
|
elif operation == "add": |
|
|
|
elif operation == "add": |
|
|
|
output[top:bottom, left:right] = destination_portion + source_portion |
|
|
|
output[:, top:bottom, left:right] = destination_portion + source_portion |
|
|
|
elif operation == "subtract": |
|
|
|
elif operation == "subtract": |
|
|
|
output[top:bottom, left:right] = destination_portion - source_portion |
|
|
|
output[:, top:bottom, left:right] = destination_portion - source_portion |
|
|
|
elif operation == "and": |
|
|
|
elif operation == "and": |
|
|
|
output[top:bottom, left:right] = torch.bitwise_and(destination_portion.round().bool(), source_portion.round().bool()).float() |
|
|
|
output[:, top:bottom, left:right] = torch.bitwise_and(destination_portion.round().bool(), source_portion.round().bool()).float() |
|
|
|
elif operation == "or": |
|
|
|
elif operation == "or": |
|
|
|
output[top:bottom, left:right] = torch.bitwise_or(destination_portion.round().bool(), source_portion.round().bool()).float() |
|
|
|
output[:, top:bottom, left:right] = torch.bitwise_or(destination_portion.round().bool(), source_portion.round().bool()).float() |
|
|
|
elif operation == "xor": |
|
|
|
elif operation == "xor": |
|
|
|
output[top:bottom, left:right] = torch.bitwise_xor(destination_portion.round().bool(), source_portion.round().bool()).float() |
|
|
|
output[:, top:bottom, left:right] = torch.bitwise_xor(destination_portion.round().bool(), source_portion.round().bool()).float() |
|
|
|
|
|
|
|
|
|
|
|
output = torch.clamp(output, 0.0, 1.0) |
|
|
|
output = torch.clamp(output, 0.0, 1.0) |
|
|
|
|
|
|
|
|
|
|
@ -278,7 +280,7 @@ class FeatherMask: |
|
|
|
FUNCTION = "feather" |
|
|
|
FUNCTION = "feather" |
|
|
|
|
|
|
|
|
|
|
|
def feather(self, mask, left, top, right, bottom): |
|
|
|
def feather(self, mask, left, top, right, bottom): |
|
|
|
output = mask.clone() |
|
|
|
output = mask.reshape((-1, mask.shape[-2], mask.shape[-1])).clone() |
|
|
|
|
|
|
|
|
|
|
|
left = min(left, output.shape[1]) |
|
|
|
left = min(left, output.shape[1]) |
|
|
|
right = min(right, output.shape[1]) |
|
|
|
right = min(right, output.shape[1]) |
|
|
@ -287,19 +289,19 @@ class FeatherMask: |
|
|
|
|
|
|
|
|
|
|
|
for x in range(left): |
|
|
|
for x in range(left): |
|
|
|
feather_rate = (x + 1.0) / left |
|
|
|
feather_rate = (x + 1.0) / left |
|
|
|
output[:, x] *= feather_rate |
|
|
|
output[:, :, x] *= feather_rate |
|
|
|
|
|
|
|
|
|
|
|
for x in range(right): |
|
|
|
for x in range(right): |
|
|
|
feather_rate = (x + 1) / right |
|
|
|
feather_rate = (x + 1) / right |
|
|
|
output[:, -x] *= feather_rate |
|
|
|
output[:, :, -x] *= feather_rate |
|
|
|
|
|
|
|
|
|
|
|
for y in range(top): |
|
|
|
for y in range(top): |
|
|
|
feather_rate = (y + 1) / top |
|
|
|
feather_rate = (y + 1) / top |
|
|
|
output[y, :] *= feather_rate |
|
|
|
output[:, y, :] *= feather_rate |
|
|
|
|
|
|
|
|
|
|
|
for y in range(bottom): |
|
|
|
for y in range(bottom): |
|
|
|
feather_rate = (y + 1) / bottom |
|
|
|
feather_rate = (y + 1) / bottom |
|
|
|
output[-y, :] *= feather_rate |
|
|
|
output[:, -y, :] *= feather_rate |
|
|
|
|
|
|
|
|
|
|
|
return (output,) |
|
|
|
return (output,) |
|
|
|
|
|
|
|
|
|
|
|