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Added damage factor for mask generator #64

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Added damage factor for mask generator #64

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12 changes: 7 additions & 5 deletions libs/util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@

class MaskGenerator():

def __init__(self, height, width, channels=3, rand_seed=None, filepath=None):
def __init__(self, height, width, channels=3, rand_seed=None, filepath=None, damage_factor=20):
"""Convenience functions for generating masks to be used for inpainting training

Arguments:
Expand All @@ -18,12 +18,14 @@ def __init__(self, height, width, channels=3, rand_seed=None, filepath=None):
channels {int} -- Channels to output (default: {3})
rand_seed {[type]} -- Random seed (default: {None})
filepath {[type]} -- Load masks from filepath. If None, generate masks with OpenCV (default: {None})
damage_factor {int} -- The maximum number of objects sampled for the mask per geometric figure
"""

self.height = height
self.width = width
self.channels = channels
self.filepath = filepath
self.damage_factor = damage_factor

# If filepath supplied, load the list of masks within the directory
self.mask_files = []
Expand All @@ -47,20 +49,20 @@ def _generate_mask(self):
raise Exception("Width and Height of mask must be at least 64!")

# Draw random lines
for _ in range(randint(1, 20)):
for _ in range(randint(1, self.damage_factor)):
x1, x2 = randint(1, self.width), randint(1, self.width)
y1, y2 = randint(1, self.height), randint(1, self.height)
thickness = randint(3, size)
cv2.line(img,(x1,y1),(x2,y2),(1,1,1),thickness)

# Draw random circles
for _ in range(randint(1, 20)):
for _ in range(randint(1, self.damage_factor)):
x1, y1 = randint(1, self.width), randint(1, self.height)
radius = randint(3, size)
cv2.circle(img,(x1,y1),radius,(1,1,1), -1)

# Draw random ellipses
for _ in range(randint(1, 20)):
for _ in range(randint(1, self.damage_factor)):
x1, y1 = randint(1, self.width), randint(1, self.height)
s1, s2 = randint(1, self.width), randint(1, self.height)
a1, a2, a3 = randint(3, 180), randint(3, 180), randint(3, 180)
Expand Down Expand Up @@ -235,4 +237,4 @@ def dimension_postprocess(self, chunked_images, original_image, scale=1, padding

i += 1

return reconstruction
return reconstruction